Business Intelligence Analysts
What do these filters mean?
- Intern You can apply while still in school.
- Entry-level Designed for new graduates.
- Mid-level Typically expects internship or 2-3 years of experience.
- Senior Established career role — usually 5+ years experience.
- Manager Leads a team of engineers, not an early-career role.
- Director Executive role — typically 10+ years of career experience.
- Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 10+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience.
- 1+ year(s) experience managing direct reports.
- 3+ years of people management experience
- Expertise in data analytics, business intelligence, and AI adoption and experiments
- Proven ability to lead data-driven transformation with measurable impact
- Experience leading AI and automation initiatives in Finance
- Familiarity with Power BI, Azure Data/Fabric, Databricks, SQL, or similar platforms
- Experience partnering with Engineering or Data Science teams
- Financial Analysis M6 - The typical base pay range for this role across the U.S. is USD $130,900.00 - $277,200.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600.00 - $303,600.00 per year.
- Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
- Lead & Develop Team Build and coach a high-performing team of analysts and transformation leads; foster a culture of accountability, innovation, and continuous improvement
- Drive Data & Analytics Strategy Define and execute Treasury analytics roadmap; standardize KPIs and reporting; enable self-service insights and data democratization
- Deliver AI & Automation at Scale Identify and implement AI, automation, and advanced analytics use cases; partner with Engineering to deploy scalable, enterprise solutions
- Advance Operational Excellence Simplify, standardize, and automate end-to-end processes; embed analytics into Treasury workflows to improve speed, accuracy, and efficiency
- Lead Cross-Functional Programs Drive complex transformation initiatives across Treasury and Engineering; influence stakeholders on priorities, trade-offs, and execution
- Drive Measurable Impact Define and track KPIs across analytics adoption, automation impact, productivity gains, and cost efficiency; deliver tangible business outcomes
- Bachelor's Degree
- 7+ years in Project Management, Process management or Business transformation.
- 5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
- CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
- CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
- Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
- Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
- Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
- WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
- A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
- Satellite and Wireless Internet service is NOT allowed for this role.
- A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
- *CRM Strategy & Optimization
- Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
- Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
- Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
- Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
- *Content Management & Strategy
- Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
- Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
- Lead vendor management and stewardship engagement with our enablement vendors to
- Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
- Support Strategic Sales enablement activities as needed.
- Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
- Partner with leadership on key transformation activities as needed.
- Position could Lead 1 or 2 associates.
- 2+ years of experience in Python or Pyspark
- 2+ years of experience in Jupyter Notebook environment
- 2+ years of experience in Databricks Platform
- 2+ years of experience in Microsoft PowerBI or other data visualization software
- 2+ years of experience working with Big Data and performing root cause analysis.
- 2+ years of experience in business ownership of data processes
- In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
- Experience in Managed Care
- Experience in Medicaid
- Experience in risk adjustment
- Experience with data mining and predictive modeling techniques
- Ability to use data to drive business outcomes and decisions
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
- *Additional Information
- Bachelor's Degree
- 7+ years in Project Management, Process management or Business transformation.
- 5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
- CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
- CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
- Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
- Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
- Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
- WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
- A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
- Satellite and Wireless Internet service is NOT allowed for this role.
- A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
- *CRM Strategy & Optimization
- Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
- Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
- Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
- Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
- *Content Management & Strategy
- Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
- Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
- Lead vendor management and stewardship engagement with our enablement vendors to
- Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
- Support Strategic Sales enablement activities as needed.
- Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
- Partner with leadership on key transformation activities as needed.
- Position could Lead 1 or 2 associates.
- 2+ years of experience in Python or Pyspark
- 2+ years of experience in Jupyter Notebook environment
- 2+ years of experience in Databricks Platform
- 2+ years of experience in Microsoft PowerBI or other data visualization software
- 2+ years of experience working with Big Data and performing root cause analysis.
- 2+ years of experience in business ownership of data processes
- In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
- Experience in Managed Care
- Experience in Medicaid
- Experience in risk adjustment
- Experience with data mining and predictive modeling techniques
- Ability to use data to drive business outcomes and decisions
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
- *Additional Information
- Bachelor's Degree
- 7+ years in Project Management, Process management or Business transformation.
- 5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
- CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
- CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
- Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
- Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
- Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
- WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
- A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
- Satellite and Wireless Internet service is NOT allowed for this role.
- A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
- *CRM Strategy & Optimization
- Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
- Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
- Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
- Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
- *Content Management & Strategy
- Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
- Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
- Lead vendor management and stewardship engagement with our enablement vendors to
- Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
- Support Strategic Sales enablement activities as needed.
- Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
- Partner with leadership on key transformation activities as needed.
- Position could Lead 1 or 2 associates.
- 2+ years of experience in Python or Pyspark
- 2+ years of experience in Jupyter Notebook environment
- 2+ years of experience in Databricks Platform
- 2+ years of experience in Microsoft PowerBI or other data visualization software
- 2+ years of experience working with Big Data and performing root cause analysis.
- 2+ years of experience in business ownership of data processes
- In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
- Experience in Managed Care
- Experience in Medicaid
- Experience in risk adjustment
- Experience with data mining and predictive modeling techniques
- Ability to use data to drive business outcomes and decisions
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
- *Additional Information
- Bachelor's Degree
- 7+ years in Project Management, Process management or Business transformation.
- 5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
- CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
- CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
- Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
- Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
- Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
- WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
- A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
- Satellite and Wireless Internet service is NOT allowed for this role.
- A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
- *CRM Strategy & Optimization
- Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
- Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
- Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
- Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
- *Content Management & Strategy
- Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
- Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
- Lead vendor management and stewardship engagement with our enablement vendors to
- Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
- Support Strategic Sales enablement activities as needed.
- Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
- Partner with leadership on key transformation activities as needed.
- Position could Lead 1 or 2 associates.
- 2+ years of experience in Python or Pyspark
- 2+ years of experience in Jupyter Notebook environment
- 2+ years of experience in Databricks Platform
- 2+ years of experience in Microsoft PowerBI or other data visualization software
- 2+ years of experience working with Big Data and performing root cause analysis.
- 2+ years of experience in business ownership of data processes
- In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
- Experience in Managed Care
- Experience in Medicaid
- Experience in risk adjustment
- Experience with data mining and predictive modeling techniques
- Ability to use data to drive business outcomes and decisions
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
- *Additional Information
- 10+ years of relevant experience in business intelligence, technical program management, analytics, operations, or related disciplines.
- Deep technical expertise in data analytics, large-scale data pipelines, SQL, business intelligence platforms, reporting architectures, and data visualization technologies.
- BS or MS degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related technical field, or equivalent experience.
- Demonstrated success leading highly visible, cross-organizational initiatives that influence business strategy and executive decision-making.
- Proven ability to independently represent the organization at the VP and SVP level and effectively communicate complex technical and business concepts to executive audiences.
- Strong track record of identifying organization-wide challenges and driving alignment across diverse stakeholder groups to achieve measurable outcomes.
- Experience operating within large-scale, globally distributed technology organizations.
- Exceptional written and verbal communication skills, including executive presentation and storytelling capabilities.
- Strong analytical, problem-solving, and strategic thinking skills with the ability to connect detailed data analysis to broader business objectives.
- Demonstrated leadership, influence, negotiation, and stakeholder management skills in highly ambiguous and rapidly evolving environments.
- Ability to think broadly, act strategically, and drive execution across organizational boundaries.
- Experience mentoring others and establishing best practices in analytics, reporting, and program management.
- Experience with cloud infrastructure, hyperscale platforms, or large-scale distributed systems.
- Familiarity with OCI products, cloud operations, capacity planning, cost management, or infrastructure economics.
- Experience driving executive business reviews, operational excellence programs, or enterprise-wide efficiency initiatives.
- Oracle Cloud Infrastructure (OCI) is seeking a highly strategic, data-driven Business Intelligence Program Manager to join our Executive Program Management team. This role is responsible for shaping and driving the data strategy behind organization-wide efficiency, cost optimization, and operational excellence initiatives across Oracle.
- As a Business Intelligence Program Manager, you will leverage large-scale data ecosystems to influence executive decision-making, identify transformational business opportunities, and drive programs that deliver measurable impact across Oracle. You will partner closely with senior executives and cross-functional leaders to define key business metrics, establish operational benchmarks, and develop scalable analytical frameworks that support long-term strategic objectives.
- We are a team of technical program managers who drive a broad portfolio of cost efficiency programs, tools, and initiatives with significant executive visibility. We focus on surfacing meaningful metrics, automating reporting and insights wherever possible, and using data to guide business decisions. We continuously explore Oracle-wide datasets to uncover new opportunities for optimization, operational improvements, and cost savings. This role offers a unique opportunity to influence Oracle's strategic direction by owning critical portions of the data ecosystem that inform executive-level decisions.
- Define and lead business intelligence strategies that support Oracle-wide operational efficiency, cost optimization, and executive decision-making.
- Own highly complex analytics initiatives spanning multiple organizations, systems, and datasets, delivering actionable insights that drive measurable business outcomes.
- Identify emerging trends, risks, inefficiencies, and opportunities through deep analysis of Oracle-wide data, proactively recommending strategic actions to senior leadership.
- Architect and oversee the development of scalable metrics, reporting frameworks, and robust SQL-based data pipelines that serve as foundational sources of truth across the organization.
- Serve as a trusted advisor and subject matter expert to senior executives, including VP and SVP leadership, on business performance, operational effectiveness, and strategic planning.
- Drive cross-functional alignment among engineering, finance, operations, and business leaders to establish shared metrics, priorities, and accountability models.
- Lead the definition of executive-level operational reviews, business health metrics, and performance scorecards.
- Develop new analytical approaches, methodologies, and frameworks that improve Oracle's ability to measure performance and identify optimization opportunities at scale.
- Champion process improvement initiatives and operational excellence programs that increase organizational efficiency, effectiveness, and productivity.
- Influence long-range planning, quarterly business priorities, and strategic investments through data-driven recommendations and executive-level reporting.
- Mentor and provide guidance to other program managers and analysts, helping elevate analytical rigor and business intelligence capabilities across the organization.
- Drive efforts that improve the efficiency and effectiveness of Oracle leadership and executive management teams.
- 10+ years of relevant experience in business intelligence, technical program management, analytics, operations, or related disciplines.
- Deep technical expertise in data analytics, large-scale data pipelines, SQL, business intelligence platforms, reporting architectures, and data visualization technologies.
- BS or MS degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related technical field, or equivalent experience.
- Demonstrated success leading highly visible, cross-organizational initiatives that influence business strategy and executive decision-making.
- Proven ability to independently represent the organization at the VP and SVP level and effectively communicate complex technical and business concepts to executive audiences.
- Strong track record of identifying organization-wide challenges and driving alignment across diverse stakeholder groups to achieve measurable outcomes.
- Experience operating within large-scale, globally distributed technology organizations.
- Exceptional written and verbal communication skills, including executive presentation and storytelling capabilities.
- Strong analytical, problem-solving, and strategic thinking skills with the ability to connect detailed data analysis to broader business objectives.
- Demonstrated leadership, influence, negotiation, and stakeholder management skills in highly ambiguous and rapidly evolving environments.
- Ability to think broadly, act strategically, and drive execution across organizational boundaries.
- Experience mentoring others and establishing best practices in analytics, reporting, and program management.
- Experience with cloud infrastructure, hyperscale platforms, or large-scale distributed systems.
- Familiarity with OCI products, cloud operations, capacity planning, cost management, or infrastructure economics.
- Experience driving executive business reviews, operational excellence programs, or enterprise-wide efficiency initiatives.
- Oracle Cloud Infrastructure (OCI) is seeking a highly strategic, data-driven Business Intelligence Program Manager to join our Executive Program Management team. This role is responsible for shaping and driving the data strategy behind organization-wide efficiency, cost optimization, and operational excellence initiatives across Oracle.
- As a Business Intelligence Program Manager, you will leverage large-scale data ecosystems to influence executive decision-making, identify transformational business opportunities, and drive programs that deliver measurable impact across Oracle. You will partner closely with senior executives and cross-functional leaders to define key business metrics, establish operational benchmarks, and develop scalable analytical frameworks that support long-term strategic objectives.
- We are a team of technical program managers who drive a broad portfolio of cost efficiency programs, tools, and initiatives with significant executive visibility. We focus on surfacing meaningful metrics, automating reporting and insights wherever possible, and using data to guide business decisions. We continuously explore Oracle-wide datasets to uncover new opportunities for optimization, operational improvements, and cost savings. This role offers a unique opportunity to influence Oracle's strategic direction by owning critical portions of the data ecosystem that inform executive-level decisions.
- Define and lead business intelligence strategies that support Oracle-wide operational efficiency, cost optimization, and executive decision-making.
- Own highly complex analytics initiatives spanning multiple organizations, systems, and datasets, delivering actionable insights that drive measurable business outcomes.
- Identify emerging trends, risks, inefficiencies, and opportunities through deep analysis of Oracle-wide data, proactively recommending strategic actions to senior leadership.
- Architect and oversee the development of scalable metrics, reporting frameworks, and robust SQL-based data pipelines that serve as foundational sources of truth across the organization.
- Serve as a trusted advisor and subject matter expert to senior executives, including VP and SVP leadership, on business performance, operational effectiveness, and strategic planning.
- Drive cross-functional alignment among engineering, finance, operations, and business leaders to establish shared metrics, priorities, and accountability models.
- Lead the definition of executive-level operational reviews, business health metrics, and performance scorecards.
- Develop new analytical approaches, methodologies, and frameworks that improve Oracle's ability to measure performance and identify optimization opportunities at scale.
- Champion process improvement initiatives and operational excellence programs that increase organizational efficiency, effectiveness, and productivity.
- Influence long-range planning, quarterly business priorities, and strategic investments through data-driven recommendations and executive-level reporting.
- Mentor and provide guidance to other program managers and analysts, helping elevate analytical rigor and business intelligence capabilities across the organization.
- Drive efforts that improve the efficiency and effectiveness of Oracle leadership and executive management teams.
- 10+ years of relevant experience in business intelligence, technical program management, analytics, operations, or related disciplines.
- Deep technical expertise in data analytics, large-scale data pipelines, SQL, business intelligence platforms, reporting architectures, and data visualization technologies.
- BS or MS degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related technical field, or equivalent experience.
- Demonstrated success leading highly visible, cross-organizational initiatives that influence business strategy and executive decision-making.
- Proven ability to independently represent the organization at the VP and SVP level and effectively communicate complex technical and business concepts to executive audiences.
- Strong track record of identifying organization-wide challenges and driving alignment across diverse stakeholder groups to achieve measurable outcomes.
- Experience operating within large-scale, globally distributed technology organizations.
- Exceptional written and verbal communication skills, including executive presentation and storytelling capabilities.
- Strong analytical, problem-solving, and strategic thinking skills with the ability to connect detailed data analysis to broader business objectives.
- Demonstrated leadership, influence, negotiation, and stakeholder management skills in highly ambiguous and rapidly evolving environments.
- Ability to think broadly, act strategically, and drive execution across organizational boundaries.
- Experience mentoring others and establishing best practices in analytics, reporting, and program management.
- Experience with cloud infrastructure, hyperscale platforms, or large-scale distributed systems.
- Familiarity with OCI products, cloud operations, capacity planning, cost management, or infrastructure economics.
- Experience driving executive business reviews, operational excellence programs, or enterprise-wide efficiency initiatives.
- Oracle Cloud Infrastructure (OCI) is seeking a highly strategic, data-driven Business Intelligence Program Manager to join our Executive Program Management team. This role is responsible for shaping and driving the data strategy behind organization-wide efficiency, cost optimization, and operational excellence initiatives across Oracle.
- As a Business Intelligence Program Manager, you will leverage large-scale data ecosystems to influence executive decision-making, identify transformational business opportunities, and drive programs that deliver measurable impact across Oracle. You will partner closely with senior executives and cross-functional leaders to define key business metrics, establish operational benchmarks, and develop scalable analytical frameworks that support long-term strategic objectives.
- We are a team of technical program managers who drive a broad portfolio of cost efficiency programs, tools, and initiatives with significant executive visibility. We focus on surfacing meaningful metrics, automating reporting and insights wherever possible, and using data to guide business decisions. We continuously explore Oracle-wide datasets to uncover new opportunities for optimization, operational improvements, and cost savings. This role offers a unique opportunity to influence Oracle's strategic direction by owning critical portions of the data ecosystem that inform executive-level decisions.
- Define and lead business intelligence strategies that support Oracle-wide operational efficiency, cost optimization, and executive decision-making.
- Own highly complex analytics initiatives spanning multiple organizations, systems, and datasets, delivering actionable insights that drive measurable business outcomes.
- Identify emerging trends, risks, inefficiencies, and opportunities through deep analysis of Oracle-wide data, proactively recommending strategic actions to senior leadership.
- Architect and oversee the development of scalable metrics, reporting frameworks, and robust SQL-based data pipelines that serve as foundational sources of truth across the organization.
- Serve as a trusted advisor and subject matter expert to senior executives, including VP and SVP leadership, on business performance, operational effectiveness, and strategic planning.
- Drive cross-functional alignment among engineering, finance, operations, and business leaders to establish shared metrics, priorities, and accountability models.
- Lead the definition of executive-level operational reviews, business health metrics, and performance scorecards.
- Develop new analytical approaches, methodologies, and frameworks that improve Oracle's ability to measure performance and identify optimization opportunities at scale.
- Champion process improvement initiatives and operational excellence programs that increase organizational efficiency, effectiveness, and productivity.
- Influence long-range planning, quarterly business priorities, and strategic investments through data-driven recommendations and executive-level reporting.
- Mentor and provide guidance to other program managers and analysts, helping elevate analytical rigor and business intelligence capabilities across the organization.
- Drive efforts that improve the efficiency and effectiveness of Oracle leadership and executive management teams.
- 10+ years of relevant experience in business intelligence, technical program management, analytics, operations, or related disciplines.
- Deep technical expertise in data analytics, large-scale data pipelines, SQL, business intelligence platforms, reporting architectures, and data visualization technologies.
- BS or MS degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related technical field, or equivalent experience.
- Demonstrated success leading highly visible, cross-organizational initiatives that influence business strategy and executive decision-making.
- Proven ability to independently represent the organization at the VP and SVP level and effectively communicate complex technical and business concepts to executive audiences.
- Strong track record of identifying organization-wide challenges and driving alignment across diverse stakeholder groups to achieve measurable outcomes.
- Experience operating within large-scale, globally distributed technology organizations.
- Exceptional written and verbal communication skills, including executive presentation and storytelling capabilities.
- Strong analytical, problem-solving, and strategic thinking skills with the ability to connect detailed data analysis to broader business objectives.
- Demonstrated leadership, influence, negotiation, and stakeholder management skills in highly ambiguous and rapidly evolving environments.
- Ability to think broadly, act strategically, and drive execution across organizational boundaries.
- Experience mentoring others and establishing best practices in analytics, reporting, and program management.
- Experience with cloud infrastructure, hyperscale platforms, or large-scale distributed systems.
- Familiarity with OCI products, cloud operations, capacity planning, cost management, or infrastructure economics.
- Experience driving executive business reviews, operational excellence programs, or enterprise-wide efficiency initiatives.
- Oracle Cloud Infrastructure (OCI) is seeking a highly strategic, data-driven Business Intelligence Program Manager to join our Executive Program Management team. This role is responsible for shaping and driving the data strategy behind organization-wide efficiency, cost optimization, and operational excellence initiatives across Oracle.
- As a Business Intelligence Program Manager, you will leverage large-scale data ecosystems to influence executive decision-making, identify transformational business opportunities, and drive programs that deliver measurable impact across Oracle. You will partner closely with senior executives and cross-functional leaders to define key business metrics, establish operational benchmarks, and develop scalable analytical frameworks that support long-term strategic objectives.
- We are a team of technical program managers who drive a broad portfolio of cost efficiency programs, tools, and initiatives with significant executive visibility. We focus on surfacing meaningful metrics, automating reporting and insights wherever possible, and using data to guide business decisions. We continuously explore Oracle-wide datasets to uncover new opportunities for optimization, operational improvements, and cost savings. This role offers a unique opportunity to influence Oracle's strategic direction by owning critical portions of the data ecosystem that inform executive-level decisions.
- Define and lead business intelligence strategies that support Oracle-wide operational efficiency, cost optimization, and executive decision-making.
- Own highly complex analytics initiatives spanning multiple organizations, systems, and datasets, delivering actionable insights that drive measurable business outcomes.
- Identify emerging trends, risks, inefficiencies, and opportunities through deep analysis of Oracle-wide data, proactively recommending strategic actions to senior leadership.
- Architect and oversee the development of scalable metrics, reporting frameworks, and robust SQL-based data pipelines that serve as foundational sources of truth across the organization.
- Serve as a trusted advisor and subject matter expert to senior executives, including VP and SVP leadership, on business performance, operational effectiveness, and strategic planning.
- Drive cross-functional alignment among engineering, finance, operations, and business leaders to establish shared metrics, priorities, and accountability models.
- Lead the definition of executive-level operational reviews, business health metrics, and performance scorecards.
- Develop new analytical approaches, methodologies, and frameworks that improve Oracle's ability to measure performance and identify optimization opportunities at scale.
- Champion process improvement initiatives and operational excellence programs that increase organizational efficiency, effectiveness, and productivity.
- Influence long-range planning, quarterly business priorities, and strategic investments through data-driven recommendations and executive-level reporting.
- Mentor and provide guidance to other program managers and analysts, helping elevate analytical rigor and business intelligence capabilities across the organization.
- Drive efforts that improve the efficiency and effectiveness of Oracle leadership and executive management teams.
Our vision is to transform how the world uses information to enrich life for _all_ . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and adva
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 1+ years of managing, analyzing and communicating results to senior leadership experience
- Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance
- Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements
- Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models
- Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- · High School Diploma or equivalent required.
- · Bachelor's degree preferred.
- · Master of Library and Information Science (MLIS) strongly preferred.
- · Experience working with large datasets across multiple applications.
- · Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
- · Experience with asset inventory management and recordkeeping.
- · Experience with reporting, dashboarding, and data visualization tools.
- · Strong project management and organizational skills.
- · Experience supporting content strategy and planning initiatives.
- · Media, entertainment, or archive management experience preferred.
- *Skills and Job-Specific Competencies:
- · Experience with Digital Asset Management (DAM) platforms.
- · Knowledge of metadata management and taxonomy standards.
- · Proficiency in Tableau for data visualization and reporting.
- · Working knowledge of XML.
- · Advanced proficiency with Adobe Acrobat Pro.
- · Experience with FileMaker databases.
- · Proficiency in Microsoft Access.
- · Advanced Microsoft Excel skills, including reporting and data analysis.
- · Experience working with Content Management Systems (CMS).
- · Professional Competencies.
- · Strong analytical, critical thinking, and problem-solving abilities.
- · Exceptional attention to detail and commitment to accuracy.
- · Excellent written and verbal communication skills.
- · Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
- · Sound judgment with the ability to make independent decisions.
- · Strong collaboration and stakeholder relationship management skills.
- · Ability to maintain confidentiality and handle sensitive information with discretion.
- · Self-motivated with the ability to work independently and as part of a team.
- *Travel Requirements: No travel will be required, unless at the client's discretion.
- We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
- · Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
- · Perform data mining, validation, and quality control across multiple systems.
- · Manage metadata, inventory records, and digital asset information.
- · Develop and maintain dashboards, reports, and data visualizations.
- · Generate regular and ad hoc reporting to support business decisions.
- · Coordinate with internal teams and client stakeholders to meet project milestones.
- · Troubleshoot data, content, and system issues and escalate when necessary.
- · High School Diploma or equivalent required.
- · Bachelor's degree preferred.
- · Master of Library and Information Science (MLIS) strongly preferred.
- · Experience working with large datasets across multiple applications.
- · Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
- · Experience with asset inventory management and recordkeeping.
- · Experience with reporting, dashboarding, and data visualization tools.
- · Strong project management and organizational skills.
- · Experience supporting content strategy and planning initiatives.
- · Media, entertainment, or archive management experience preferred.
- *Skills and Job-Specific Competencies:
- · Experience with Digital Asset Management (DAM) platforms.
- · Knowledge of metadata management and taxonomy standards.
- · Proficiency in Tableau for data visualization and reporting.
- · Working knowledge of XML.
- · Advanced proficiency with Adobe Acrobat Pro.
- · Experience with FileMaker databases.
- · Proficiency in Microsoft Access.
- · Advanced Microsoft Excel skills, including reporting and data analysis.
- · Experience working with Content Management Systems (CMS).
- · Professional Competencies.
- · Strong analytical, critical thinking, and problem-solving abilities.
- · Exceptional attention to detail and commitment to accuracy.
- · Excellent written and verbal communication skills.
- · Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
- · Sound judgment with the ability to make independent decisions.
- · Strong collaboration and stakeholder relationship management skills.
- · Ability to maintain confidentiality and handle sensitive information with discretion.
- · Self-motivated with the ability to work independently and as part of a team.
- *Travel Requirements: No travel will be required, unless at the client's discretion.
- We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
- · Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
- · Perform data mining, validation, and quality control across multiple systems.
- · Manage metadata, inventory records, and digital asset information.
- · Develop and maintain dashboards, reports, and data visualizations.
- · Generate regular and ad hoc reporting to support business decisions.
- · Coordinate with internal teams and client stakeholders to meet project milestones.
- · Troubleshoot data, content, and system issues and escalate when necessary.
- · High School Diploma or equivalent required.
- · Bachelor's degree preferred.
- · Master of Library and Information Science (MLIS) strongly preferred.
- · Experience working with large datasets across multiple applications.
- · Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
- · Experience with asset inventory management and recordkeeping.
- · Experience with reporting, dashboarding, and data visualization tools.
- · Strong project management and organizational skills.
- · Experience supporting content strategy and planning initiatives.
- · Media, entertainment, or archive management experience preferred.
- *Skills and Job-Specific Competencies:
- · Experience with Digital Asset Management (DAM) platforms.
- · Knowledge of metadata management and taxonomy standards.
- · Proficiency in Tableau for data visualization and reporting.
- · Working knowledge of XML.
- · Advanced proficiency with Adobe Acrobat Pro.
- · Experience with FileMaker databases.
- · Proficiency in Microsoft Access.
- · Advanced Microsoft Excel skills, including reporting and data analysis.
- · Experience working with Content Management Systems (CMS).
- · Professional Competencies.
- · Strong analytical, critical thinking, and problem-solving abilities.
- · Exceptional attention to detail and commitment to accuracy.
- · Excellent written and verbal communication skills.
- · Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
- · Sound judgment with the ability to make independent decisions.
- · Strong collaboration and stakeholder relationship management skills.
- · Ability to maintain confidentiality and handle sensitive information with discretion.
- · Self-motivated with the ability to work independently and as part of a team.
- *Travel Requirements: No travel will be required, unless at the client's discretion.
- We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
- · Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
- · Perform data mining, validation, and quality control across multiple systems.
- · Manage metadata, inventory records, and digital asset information.
- · Develop and maintain dashboards, reports, and data visualizations.
- · Generate regular and ad hoc reporting to support business decisions.
- · Coordinate with internal teams and client stakeholders to meet project milestones.
- · Troubleshoot data, content, and system issues and escalate when necessary.
- · High School Diploma or equivalent required.
- · Bachelor's degree preferred.
- · Master of Library and Information Science (MLIS) strongly preferred.
- · Experience working with large datasets across multiple applications.
- · Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
- · Experience with asset inventory management and recordkeeping.
- · Experience with reporting, dashboarding, and data visualization tools.
- · Strong project management and organizational skills.
- · Experience supporting content strategy and planning initiatives.
- · Media, entertainment, or archive management experience preferred.
- *Skills and Job-Specific Competencies:
- · Experience with Digital Asset Management (DAM) platforms.
- · Knowledge of metadata management and taxonomy standards.
- · Proficiency in Tableau for data visualization and reporting.
- · Working knowledge of XML.
- · Advanced proficiency with Adobe Acrobat Pro.
- · Experience with FileMaker databases.
- · Proficiency in Microsoft Access.
- · Advanced Microsoft Excel skills, including reporting and data analysis.
- · Experience working with Content Management Systems (CMS).
- · Professional Competencies.
- · Strong analytical, critical thinking, and problem-solving abilities.
- · Exceptional attention to detail and commitment to accuracy.
- · Excellent written and verbal communication skills.
- · Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
- · Sound judgment with the ability to make independent decisions.
- · Strong collaboration and stakeholder relationship management skills.
- · Ability to maintain confidentiality and handle sensitive information with discretion.
- · Self-motivated with the ability to work independently and as part of a team.
- *Travel Requirements: No travel will be required, unless at the client's discretion.
- We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
- · Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
- · Perform data mining, validation, and quality control across multiple systems.
- · Manage metadata, inventory records, and digital asset information.
- · Develop and maintain dashboards, reports, and data visualizations.
- · Generate regular and ad hoc reporting to support business decisions.
- · Coordinate with internal teams and client stakeholders to meet project milestones.
- · Troubleshoot data, content, and system issues and escalate when necessary.
- 5+ years of SQL, ETL or Oracle experience
- 5+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
- Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python.
- Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
- Use analytical and statistical rigor to solve complex problems and drive business decisions
- Drive towards simple, scalable solutions to difficult problems
- Project-manage multiple workflows and communicate complex analytical results, both written and verbally
- Work with key business stakeholders to understand requirements and shape analytical deliverables
- Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally
- Strategic Vision
- Executive Interaction
- Platform Mastery
- Leadership Excellence
- Stakeholder Strategy
- Bachelor's Degree in a related field with extensive professional experience in analytics and project management.
- Demonstrable experience in leading system-wide analytics projects and developing system solutions.
- Recognized domain expertise in clinical and business domains.
- Extensive expertise in Product Management, Project Management, or Program Management philosophies and methodologies, and capable of strategically applying them to complex data analytic projects to ensure alignment with business goals and efficient execution.
- Recognized thought leadership and ability to serve as an extension of senior data leaders.
- Demonstrated executive presence and proficiency in managing stakeholder relationships
- Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
- With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. The AP4P award opportunities are calculated as a percentage of your base salary. Awards are paid out based on attainment of selected Board-approved goals.
- Master's Degree in a related data or analytics field such as statistics, mathematics, information systems, computer science, finance, business management, or economics.
- A strategic leader overseeing data and analytics operations across various departments and regions. This role involves directing analytical strategies to provide accurate and timely data for guiding decisions. Leads high-impact teams with expertise in healthcare data, partnering with business and clinical leaders to deploy world-class data analytics and support the mission of helping people live the healthiest lives possible and business strategies.
- This Director role provides strategic leadership across key Enterprise Analytics functions, with specific responsibility for Supply Chain Analytics, Human Resource Analytics, and other Shared Services Analytics teams. The leader will partner closely with stakeholders and analytics teams to set priorities, focus drive high-impact initiatives, strengthen governance and delivery standards, and ensure analytics capabilities create measurable value across the organization.
- Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in the following states: CA, CT, HI, IL, NY, RI, VT, and WA. Business travel will be necessary, regardless of state of residence, and will primarily be within Intermountain Health's service area (UT, ID, NV, CO, WY, MT), but may also require travel within the United States.
- *Essential Functions
- Develop and execute strategic plans for the entire data and analytics division, ensuring alignment with Intermountain strategies.
- Lead governance and prioritization workgroups, ensuring work priorities align with business unit, region, and system priorities. Must effectively communicate with executives under high pressure and tight timelines.
- Accountable for delivering high performance on Enterprise Analytics key performance indicators (KPIs) across all teams, such as Strategic Impact, Value Realization, and Team Engagement.
- Possess an expert understanding of data platforms and architectures to enable strong partnerships with data architects, advisors, and analystsin developing analytic solutions.
- Ensure that managers of teams responsible for data deliverables adopt best practice standards that align with overall analytic and business strategies.
- Ensure alignment and support of Data Governance strategy, including data stewardship and data quality for the entire business unit, aligning with organization standards.
- Directly or indirectly lead multiple roles on collaborative delivery teams, Data Scientists, Data Analysts, Data Architects, and other supporting roles.
- Frequently interface with executive leadership, synthesizing large, complex topics into succinct and consumable forms for highest impact and decision-making.
- Provide strategic leadership and direction for departments/functions, continuously challenging the status quo by evaluating current processes and practices against industry standards both inside and outside of healthcare.
- Mentor and coach managers, supervisors, and analytic caregivers, ensuring adequate management succession plans are in place.
- Provide ongoing training, maintenance, monitoring, and promotion of data applications and reports to ensure data insights are widely known, accessible, and used to their fullest potential.
- Manage business and stakeholder relationships within areas of responsibility, focusing on solutions and strategies that create win-win situations both inside and outside of the analytic organization.
- Deliver results for areas of responsibility, including goal setting, implementation, and problem/issue resolution
- 2+ years of experience in Python and Pandas Python library.
- 2+ years of experience in Jupyter Notebook environment.
- 2+ years of experience in Databricks Platform.
- 2+ years of experience in Microsoft PowerBI or other data visualization software.
- 2+ years of experience working with Big Data and performing root cause analysis.
- 2+ years of experience in business ownership of data processes.
- In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
- Experience in Managed Care.
- Experience in Medicaid.
- Experience in risk adjustment.
- Experience with data mining and predictive modeling techniques.
- Ability to use data to drive business outcomes and decisions.
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
- Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
- The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
- All applicants must meet all the above listed requirements.
- 2+ years of experience in Python and Pandas Python library.
- 2+ years of experience in Jupyter Notebook environment.
- 2+ years of experience in Databricks Platform.
- 2+ years of experience in Microsoft PowerBI or other data visualization software.
- 2+ years of experience working with Big Data and performing root cause analysis.
- 2+ years of experience in business ownership of data processes.
- In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
- Experience in Managed Care.
- Experience in Medicaid.
- Experience in risk adjustment.
- Experience with data mining and predictive modeling techniques.
- Ability to use data to drive business outcomes and decisions.
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
Senior Data Analyst- NIKE, Inc.- Beaverton, OR. Design, develop, and implement new decision support solutions that help the business leverage data to make informed decisions; assist the business Product Owner with requirements gathering, documentation, and story creation, while taking ownership of d
- Strategic Vision
- Executive Interaction
- Platform Mastery
- Leadership Excellence
- Stakeholder Strategy
- Bachelor's Degree in a related field with extensive professional experience in analytics and project management.
- Demonstrable experience in leading system-wide analytics projects and developing system solutions.
- Recognized domain expertise in clinical and business domains.
- Extensive expertise in Product Management, Project Management, or Program Management philosophies and methodologies, and capable of strategically applying them to complex data analytic projects to ensure alignment with business goals and efficient execution.
- Recognized thought leadership and ability to serve as an extension of senior data leaders.
- Demonstrated executive presence and proficiency in managing stakeholder relationships
- Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
- With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. The AP4P award opportunities are calculated as a percentage of your base salary. Awards are paid out based on attainment of selected Board-approved goals.
- Master's Degree in a related data or analytics field such as statistics, mathematics, information systems, computer science, finance, business management, or economics.
- A strategic leader overseeing data and analytics operations across various departments and regions. This role involves directing analytical strategies to provide accurate and timely data for guiding decisions. Leads high-impact teams with expertise in healthcare data, partnering with business and clinical leaders to deploy world-class data analytics and support the mission of helping people live the healthiest lives possible and business strategies.
- This Director role provides strategic leadership across key Enterprise Analytics functions, with specific responsibility for Supply Chain Analytics, Human Resource Analytics, and other Shared Services Analytics teams. The leader will partner closely with stakeholders and analytics teams to set priorities, focus drive high-impact initiatives, strengthen governance and delivery standards, and ensure analytics capabilities create measurable value across the organization.
- Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in the following states: CA, CT, HI, IL, NY, RI, VT, and WA. Business travel will be necessary, regardless of state of residence, and will primarily be within Intermountain Health's service area (UT, ID, NV, CO, WY, MT), but may also require travel within the United States.
- *Essential Functions
- Develop and execute strategic plans for the entire data and analytics division, ensuring alignment with Intermountain strategies.
- Lead governance and prioritization workgroups, ensuring work priorities align with business unit, region, and system priorities. Must effectively communicate with executives under high pressure and tight timelines.
- Accountable for delivering high performance on Enterprise Analytics key performance indicators (KPIs) across all teams, such as Strategic Impact, Value Realization, and Team Engagement.
- Possess an expert understanding of data platforms and architectures to enable strong partnerships with data architects, advisors, and analystsin developing analytic solutions.
- Ensure that managers of teams responsible for data deliverables adopt best practice standards that align with overall analytic and business strategies.
- Ensure alignment and support of Data Governance strategy, including data stewardship and data quality for the entire business unit, aligning with organization standards.
- Directly or indirectly lead multiple roles on collaborative delivery teams, Data Scientists, Data Analysts, Data Architects, and other supporting roles.
- Frequently interface with executive leadership, synthesizing large, complex topics into succinct and consumable forms for highest impact and decision-making.
- Provide strategic leadership and direction for departments/functions, continuously challenging the status quo by evaluating current processes and practices against industry standards both inside and outside of healthcare.
- Mentor and coach managers, supervisors, and analytic caregivers, ensuring adequate management succession plans are in place.
- Provide ongoing training, maintenance, monitoring, and promotion of data applications and reports to ensure data insights are widely known, accessible, and used to their fullest potential.
- Manage business and stakeholder relationships within areas of responsibility, focusing on solutions and strategies that create win-win situations both inside and outside of the analytic organization.
- Deliver results for areas of responsibility, including goal setting, implementation, and problem/issue resolution
- 2+ years of experience in Python and Pandas Python library.
- 2+ years of experience in Jupyter Notebook environment.
- 2+ years of experience in Databricks Platform.
- 2+ years of experience in Microsoft PowerBI or other data visualization software.
- 2+ years of experience working with Big Data and performing root cause analysis.
- 2+ years of experience in business ownership of data processes.
- In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
- Experience in Managed Care.
- Experience in Medicaid.
- Experience in risk adjustment.
- Experience with data mining and predictive modeling techniques.
- Ability to use data to drive business outcomes and decisions.
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
- Strategic Vision
- Executive Interaction
- Platform Mastery
- Leadership Excellence
- Stakeholder Strategy
- Bachelor's Degree in a related field with extensive professional experience in analytics and project management.
- Demonstrable experience in leading system-wide analytics projects and developing system solutions.
- Recognized domain expertise in clinical and business domains.
- Extensive expertise in Product Management, Project Management, or Program Management philosophies and methodologies, and capable of strategically applying them to complex data analytic projects to ensure alignment with business goals and efficient execution.
- Recognized thought leadership and ability to serve as an extension of senior data leaders.
- Demonstrated executive presence and proficiency in managing stakeholder relationships
- Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
- With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. The AP4P award opportunities are calculated as a percentage of your base salary. Awards are paid out based on attainment of selected Board-approved goals.
- Master's Degree in a related data or analytics field such as statistics, mathematics, information systems, computer science, finance, business management, or economics.
- A strategic leader overseeing data and analytics operations across various departments and regions. This role involves directing analytical strategies to provide accurate and timely data for guiding decisions. Leads high-impact teams with expertise in healthcare data, partnering with business and clinical leaders to deploy world-class data analytics and support the mission of helping people live the healthiest lives possible and business strategies.
- This Director role provides strategic leadership across key Enterprise Analytics functions, with specific responsibility for Supply Chain Analytics, Human Resource Analytics, and other Shared Services Analytics teams. The leader will partner closely with stakeholders and analytics teams to set priorities, focus drive high-impact initiatives, strengthen governance and delivery standards, and ensure analytics capabilities create measurable value across the organization.
- Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in the following states: CA, CT, HI, IL, NY, RI, VT, and WA. Business travel will be necessary, regardless of state of residence, and will primarily be within Intermountain Health's service area (UT, ID, NV, CO, WY, MT), but may also require travel within the United States.
- *Essential Functions
- Develop and execute strategic plans for the entire data and analytics division, ensuring alignment with Intermountain strategies.
- Lead governance and prioritization workgroups, ensuring work priorities align with business unit, region, and system priorities. Must effectively communicate with executives under high pressure and tight timelines.
- Accountable for delivering high performance on Enterprise Analytics key performance indicators (KPIs) across all teams, such as Strategic Impact, Value Realization, and Team Engagement.
- Possess an expert understanding of data platforms and architectures to enable strong partnerships with data architects, advisors, and analystsin developing analytic solutions.
- Ensure that managers of teams responsible for data deliverables adopt best practice standards that align with overall analytic and business strategies.
- Ensure alignment and support of Data Governance strategy, including data stewardship and data quality for the entire business unit, aligning with organization standards.
- Directly or indirectly lead multiple roles on collaborative delivery teams, Data Scientists, Data Analysts, Data Architects, and other supporting roles.
- Frequently interface with executive leadership, synthesizing large, complex topics into succinct and consumable forms for highest impact and decision-making.
- Provide strategic leadership and direction for departments/functions, continuously challenging the status quo by evaluating current processes and practices against industry standards both inside and outside of healthcare.
- Mentor and coach managers, supervisors, and analytic caregivers, ensuring adequate management succession plans are in place.
- Provide ongoing training, maintenance, monitoring, and promotion of data applications and reports to ensure data insights are widely known, accessible, and used to their fullest potential.
- Manage business and stakeholder relationships within areas of responsibility, focusing on solutions and strategies that create win-win situations both inside and outside of the analytic organization.
- Deliver results for areas of responsibility, including goal setting, implementation, and problem/issue resolution
- 2+ years of experience in Python and Pandas Python library.
- 2+ years of experience in Jupyter Notebook environment.
- 2+ years of experience in Databricks Platform.
- 2+ years of experience in Microsoft PowerBI or other data visualization software.
- 2+ years of experience working with Big Data and performing root cause analysis.
- 2+ years of experience in business ownership of data processes.
- In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
- Experience in Managed Care.
- Experience in Medicaid.
- Experience in risk adjustment.
- Experience with data mining and predictive modeling techniques.
- Ability to use data to drive business outcomes and decisions.
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
- Must have a Master's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 3 years of related work experience.
- Of the required experience, must have 1 year of experience in each of the following:
- Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing;
- Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL;
- Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and
- Building, tuning, and validating statistical models for regression and classification problems in Python or R.
- Travel Requirement: Domestic and international travel required up to 10%.
- Type: Full time, 40 hours/week
- Location: Bellevue, WA
- Monitor, audit, and analyze potential fraudulent cases and consolidate anti-fraud rules.
- Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management.
- Understand the trends and intelligence of fraudulent activities in each local market and build intelligence monitoring systems to mitigate fraud.
- Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
- Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences.
- Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.
- Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
- The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
- Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
- The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
- Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
- The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
- Strong SQL and data modeling skills, experience with BI visualization tools (Tableau/QuickSight), ability to translate ambiguous business requirements into technical solutions, and excellent communication skills for both technical and non-technical audiences. You'll work independently with limited guidance while knowing when to collaborate and seek direction.
- Ready to shape the future of grocery analytics? This role offers the unique opportunity to combine traditional BI excellence with emerging AI capabilities, positioning you at the forefront of how data teams serve business stakeholders.
- Bachelor's degree in sciences, engineering, finance or equivalent
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Master's degree in sciences, engineering, finance or equivalent
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- 5+ years of retail, grocery, or customer-facing, or 2+ years of retail or operations experience
- Build scalable analytics infrastructure: Design and implement automated ETL pipelines, data models, and reporting solutions using AWS technologies (Redshift, Athena, QuickSight, S3) that transform raw data into actionable insights for marketing and customer lifecycle teams
- Drive marketing measurement excellence: Own end-to-end attribution analysis, customer funnel instrumentation, and lifecycle segmentation frameworks that enable data-driven investment decisions across multi-million dollar marketing budgets
- Develop AI-powered analytics solutions: Create conversational AI agents and automated insight generation tools that enable business stakeholders to self-serve complex analyses, reducing time-to-insight from days to minutes
- Partner cross-functionally: Collaborate with Marketing, Product, Tech, and Data teams to translate ambiguous business requirements into technical solutions, establish unified measurement standards, and drive alignment on strategic initiatives
- Deliver actionable insights: Conduct deep-dive analyses on customer behavior, campaign performance, and funnel optimization opportunities that directly inform business strategy and tactical execution
- Ensure data quality and reliability: Implement monitoring, validation, and documentation practices that maintain trust in analytics outputs and enable confident decision-making
- Mentor and influence: Share best practices, contribute to team technical standards, and elevate the analytical capabilities of both technical and non-technical stakeholders
- You'll start most days reviewing overnight metrics-did marketing campaigns perform as expected? Any funnel drop-offs requiring investigation? You'll partner closely with Marketing PMs and Online Growth teams to translate their questions into analyses, often jumping into SQL to pull data or building QuickSight dashboards for self-service access.
- Mid-morning might involve a working session with Tech teams to instrument new customer touchpoints or debug attribution gaps. Afternoons could mean presenting findings to leadership, prototyping an AI agent that answers common stakeholder questions, or collaborating with Data Engineering on pipeline improvements.
- You'll balance planned projects (building attribution frameworks, lifecycle segmentation models) with urgent requests (explaining yesterday's order spike, validating experiment results). Some days you're deep in code; others you're whiteboarding measurement strategies with cross-functional partners. The variety keeps it interesting-you're never just pulling reports; you're solving puzzles that directly impact how Amazon invests millions in customer acquisition.
Grow with us Data Analyst Intern Location: Bellevue, WA Duration: 12 weeks Start Date: May 26, 2026 Upload an unofficial copy of your transcript Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's
Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro
Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro
Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro
Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling
- Master's degree, or Advanced technical degree
- Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting
- Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting around key subscription metrics including acquisition, retention, and engagement
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
- Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling
- Master's degree, or Advanced technical degree
- Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting
- Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
- Develop queries and visualizations for standardized reporting around key subscription metrics including acquisition, retention, and engagement
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
- Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle
- Bachelors' Degree in related field, or equivalent work experience
- 5+ years of experience in Data Analytics field preferred
- Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
- Experience with relational databases (Oracle, SQL Server preferred)
- Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
- Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
- Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
- Ability to identify and troubleshoot critical issues
- Strong presentation skills preferred
- Develops clear and well-structured analytical plans and analyzes large datasets
- Helps business by interpreting data to assess and compare performance
- Experience with business-critical applications
- Experience translating vague requests into concrete deliverables
- Experience with migrating legacy systems to modern cloud-based analytical solutions
- Ability to adapt to fast changing environments
- Experience with complex data environments and leveraging disparate data sources, including 3rd party data
- *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
- Medical, dental and vision coverage
- Paid time off plan
- Health savings account (HSA)
- 401k savings plan
- Access to wages before pay day with myFlexPay
- Flexible spending accounts (FSAs)
- AWS/Google Cloud platform experience
- Agile implementation experience
- Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
- Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
- Experience working with SAP systems
- Experience with Python and/or R
- Understanding of Project management lifecycle
- *What is expected of you and others at this level
- Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
- May contribute to the development of policies and procedures
- Works on complex projects of large scope
- Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
- Completes work independently receives general guidance on new projects
- Work reviewed for purpose of meeting objectives
- May act as a mentor to less experienced colleagues
- Bachelors' Degree in related field, or equivalent work experience
- 5+ years of experience in Data Analytics field preferred
- Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
- Experience with relational databases (Oracle, SQL Server preferred)
- Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
- Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
- Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
- Ability to identify and troubleshoot critical issues
- Strong presentation skills preferred
- Develops clear and well-structured analytical plans and analyzes large datasets
- Helps business by interpreting data to assess and compare performance
- Experience with business-critical applications
- Experience translating vague requests into concrete deliverables
- Experience with migrating legacy systems to modern cloud-based analytical solutions
- Ability to adapt to fast changing environments
- Experience with complex data environments and leveraging disparate data sources, including 3rd party data
- *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
- Medical, dental and vision coverage
- Paid time off plan
- Health savings account (HSA)
- 401k savings plan
- Access to wages before pay day with myFlexPay
- Flexible spending accounts (FSAs)
- AWS/Google Cloud platform experience
- Agile implementation experience
- Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
- Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
- Experience working with SAP systems
- Experience with Python and/or R
- Understanding of Project management lifecycle
- *What is expected of you and others at this level
- Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
- May contribute to the development of policies and procedures
- Works on complex projects of large scope
- Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
- Completes work independently receives general guidance on new projects
- Work reviewed for purpose of meeting objectives
- May act as a mentor to less experienced colleagues
- Bachelor's degree in Business, Economics, Statistics, Data Science, or a related field. A Master's degree is a plus.
- 2+ years of relevant experience
- Proven experience as a Business Data Analyst or similar role.
- Proficiency in data analysis tools and software, specifically Excel. SQL experience a plus.
- Experience with data visualization tools, such as PowerBI, Tableau, or similar. Knowledge of Canva is a plus for creating engaging infographics.
- Demonstrated ability to work in a fast-paced, dynamic environment and meet deadlines effectively.
- Excellent problem-solving skills and attention to detail, accurately and thoroughly accomplishing assignments.
- Effectively manages time with the ability to manage multiple projects simultaneously.
- Demonstrates respectful interactions with colleagues at all levels in MedInsight.
- Ability to maintain confidentiality of data and information.
- *What makes this a great opportunity?
- Join an innovat
- The Business Data Analyst will be responsible for analyzing and interpreting complex data sets to provide actionable insights that drive business management and improvement strategies. This role requires a strong analytical mindset, proficiency in statistical methods, and an ability to develop an understanding of business objectives to effectively translate data into findings. The ideal candidate will have experience with data visualization tools, a strong interest in learning and applying new skills to advance business data analysis, and a passion for turning data into meaningful business outcomes. This role will report to the Director of Operations Strategy on the Business team.
- Collaborate with cross-functional teams to understand business needs and translate them into data reporting requirements.
- Document data sources, data definitions, methodologies, and processes to ensure data integrity and facilitate knowledge sharing within the team.
- Collect, clean, and analyze data from various sources to identify trends, patterns, and insights.
- Develop and maintain dashboards, reports, and visualizations using tools such as PowerBI, Excel, or Canva.
- Conduct data analyses and modeling to support business objectives and decision-making processes.
- Ensure compliance with data governance standards and privacy regulations.
- Prepare data visualizations and present findings through clear and concise reports, presentations, and infographics.
- Perform regular data audits to ensure accuracy, consistency, and completeness of data, and work with cross-functional teams to address any discrepancies and resolve data issues identified.
- Continuous learning to stay current with best practices, skills, and AI in data analysis and business intelligence.
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in the data/BI space
- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree or above in a quantitative field
- Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions.
- Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally
- Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners
- Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms, self service dashboard, Single source of truth tables)
- Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap
- Developing dashboards and insight products
- Fostering culture of continuous engineering improvement through blueprints, mentoring, feedback, and metrics
- Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
- The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
- At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
- Bachelors' Degree in related field, or equivalent work experience
- 5+ years of experience in Data Analytics field preferred
- Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
- Experience with relational databases (Oracle, SQL Server preferred)
- Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
- Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
- Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
- Ability to identify and troubleshoot critical issues
- Strong presentation skills preferred
- Develops clear and well-structured analytical plans and analyzes large datasets
- Helps business by interpreting data to assess and compare performance
- Experience with business-critical applications
- Experience translating vague requests into concrete deliverables
- Experience with migrating legacy systems to modern cloud-based analytical solutions
- Ability to adapt to fast changing environments
- Experience with complex data environments and leveraging disparate data sources, including 3rd party data
- *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
- Medical, dental and vision coverage
- Paid time off plan
- Health savings account (HSA)
- 401k savings plan
- Access to wages before pay day with myFlexPay
- Flexible spending accounts (FSAs)
- AWS/Google Cloud platform experience
- Agile implementation experience
- Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
- Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
- Experience working with SAP systems
- Experience with Python and/or R
- Understanding of Project management lifecycle
- *What is expected of you and others at this level
- Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
- May contribute to the development of policies and procedures
- Works on complex projects of large scope
- Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
- Completes work independently receives general guidance on new projects
- Work reviewed for purpose of meeting objectives
- May act as a mentor to less experienced colleagues
- [Analyze large-scale marketing datasets from multiple channels (e.g., paid search, social, display, email, affiliate) using statistical and computational techniques to evaluate performance, identify key trends, and optimize return on investment (ROI).]{segoe="" ui",="" tahoma,="" sans-serif"=""}
- [Develop and maintain predictive and econometric models, including marketing mix models and attribution frameworks, to quantify the incremental impact of each marketing channel on conversions, revenue, and customer acquisition.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
- [Design and execute controlled experiments (A/B and multivariate tests) to assess the effectiveness of ad creatives, audience targeting, and bidding strategies, applying rigorous statistical validation methods.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
- [Create and automate data pipelines and dashboards to provide real-time insights into marketing performance and customer behavior for cross-functional stakeholders.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
- [Apply machine learning algorithms and forecasting techniques to predict customer lifetime value (LTV), conversion probability, and channel performance trends.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
- [Collaborate with cross-functional teams (marketing, data engineering, finance, and product) to integrate data sources, ensure data quality, and align analytical insights with business objectives.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
- [Communicate findings and recommendations through clear data visualizations, reports, and presentations to both technical and non-technical audiences.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
- [Continuously evaluate and refine analytical methodologies to improve modeling accuracy, scalability, and business impact.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
- *Job Requirement: Master's degree in a quantitative field (e.g. Statistics, Analytics, Mathematics, Economics, Data Science, or similar). At least 2 years in a data analytics role, with a focus on performance or digital marketing. proficiency in SQL and data visualization tools, and knowledge of statistical analysis and A/B testing.
- Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience.
- Of the required experience, must have 2 years of experience in each of the following:
- Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
- Working with cross-functional teams to design and build self-serve data analysis solutions;
- Creating, maintaining, and delivering reports using Excel and developing, validating, and maintaining metrics to manage and evaluate business performance;
- Using SQL coding and database management systems to extract, transform, and analyze data from the platform and enterprise systems; and
- Constructing advanced queries using SQL.
- Travel Requirement: International and domestic travel required up to 20%.
- Type: Full time, 40 hours/week
- Location: Bellevue, WA
- Develop comprehensive analytics frameworks and product metrics to proactively track, attribute, and identify opportunities to improve products and the business.
- Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.
- Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business and user product offerings.
- Monitor key performance indicators and develop metrics framework to help measure cross-function team efforts in a quantitative way.
- Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features.
- Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth.
- Provide recommendations for improvements to achieve business goals.
- Bachelor's degree and 5+ years of technical experience in data analysis OR Master's degree and 3+ years of experience.
- Advanced experience working with big and complex data sets within large organizations.
- Experience analyzing data to solve different business problems and create data visualizations that create strategic direction.
- Proficiency in understanding Healthcare related data.
- Proficiency in communication to senior and executive leadership.
- Must be passionate about contributing to an organization focused on improving consumer experiences.
- Will work within the Eastern Time (EST) zone.
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
- Advanced in SQL, SAS, and other data systems.
- Experience with tools such as Tableau and Qlik for creating data visualizations.
- Expertise in data mining, forecasting, simulation, and predictive modeling.
- Experience creating analytics solutions for multiple healthcare sectors.
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
- Associate's degree, or 2 years of highly relevant paid work experience and formal training in data analytics to demonstrate an ability to successfully perform the job.
- Strong computer skills, including using word processors, analyzing Excel spreadsheets, and writing SQL queries.
- Strong oral and written communication skills and ability to work effectively with staff from various backgrounds and disciplines.
- Ability to organize and coordinate work efficiently; prioritize workload, work under pressure with tight timelines and changing priorities.
- Ability to work independently with a minimum of supervision, and act on own initiative, within agency procedural guidelines.
- Initiative and creativity in problem solving and system development.
- Willingness to be flexible and work cooperatively with co-workers to accomplish all responsibilities of the team.
- Subscribe to philosophy of cooperation and continuity across programs, and of consideration and respect for clients.
- Appropriate safeguarding and handling of confidential and proprietary information.
- Bachelor's degree in computer science, engineering, related field or equivalent experience: advanced degree a plus.
- 4 years' highly relevant paid work experience.
- Knowledge of affordable housing and homelessness sectors.
- Knowledge of health equity and organizational change principles.
- Experience working in administration/coordination in a human services or affordable housing setting.
- Experience working with individuals who are homeless, mentally ill, and/or use substances.
- Demonstrated ability to use scripting or programming languages to perform tasks.
- Data analysis experience with R/Python
- Experience with Apache or other HTTP servers, GitHub, and Linux.
- Identify, coordinate, and communicate processes to create efficiencies and improve program performance.
- Monitor and administer DESC's housing data collection and reporting through King County's HMIS system.
- Creating interactive dashboard visualizations, to help track key indicators of outcome and success in programs and settings.
- Adherence to the HIM compliance and housing documentation improvement program, including training housing staff on documentation standards.
- Serves as a subject matter expert for managers on documentation & data reporting standards that comply with regulatory requirements.
- Assist various housing programs with data analysis and reporting requirements.
- Use data sources to perform validation and quality control checks to track performance and compliance in identified areas.
- Perform analysis on quality, cost and achievement metrics to evaluate programs, using visualization techniques to communicate insights and recommendations.
- Support ongoing contract requirements with independent data analysis and written reports.
- Collaborate with the Quality and Information Management Departments and other DESC partners to scope, design, and validate additional reporting and design features.
- Enhance existing reports and reporting processes to create efficiencies and added value throughout DESC.
- Assist in various quality assurance activities, including but not limited to quarterly internal audits.
- Document project details and maintain report specifications that clearly describe how implemented features work and work with end-users to ensure usage and usability.
- Other duties as assigned.
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program or project management.
- 5 years of experience in managing full life cycle data center construction planning.
- 5 years of experience in primavera P6 enterprise project portfolio management.
- 5 years of experience in data analysis.
- Master's degree or MBA.
- 7 years of experience in managing full life cycle data center construction planning.
- 7 years of experience in primavera P6 enterprise project portfolio management.
- 7 years of experience in data analysis.
- A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
- In this role, you will own the integrity and strategic planning of our entire product portfolio. You will operate at the intersection of program management, engineering strategy, and advanced analytics. You will orchestrate the planning architecture for our most complex product configurations, partnering with the executive team leads to drive logic based design schedules. Simultaneously, you will serve as the portfolio's data analyst, using advanced milestone-to-milestone forensics to generate predictive insights. You will carry the mandate to enforce schedule governance, possessing the authority to reject green-shifted plans and ensure that organizational decisions are based on mathematical reality, not optimism.
- The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
- The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
- Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
- Lead the end-to-end schedule strategy for New Product Introduction (NPI) and refinements. Define the logic strategy that integrates design and engineering across multi-variant product configurations.
- Partner with executive team leads and engineering groups to translate high-level product roadmaps into executable, resource loaded schedules.
- Establish the standard for how product variants are modeled in the schedule. Ensure that dependencies between common core components and unique configuration elements are mathematically sound.
- Conduct analysis into the velocity between critical milestones. Identify systemic drag factors that are invisible at the surface level and quantify their impact on the bottom line.
- Transform raw schedule data into high-level strategic narratives. Present these insights directly to leadership, highlighting risks that require immediate executive intervention.
- Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
- 10+ years of business intelligence experience with 7+ years focused on web analytics and customer onboarding
- 5 or more years of leadership experience
- Experience delivering insights around web analytics and customer engagement across digital channels supporting retail and/or clinical operations
- Strong understanding of measurement strategies around:
- Shopping funnel performance supporting retail pharmacy operations
- Experience with provider/clinical measurements strategy and outcomes
- Feature Performance and Testing
- Relationship between marketing activities and sales outcomes
- Web tagging and digital activity monitoring
- Excellent communication skills with the ability to influence cross-functional teams and present to senior leadership
- Experience working inside of Agile methodologies along side product, design, and engineering teams
- Experience leading teams using Adobe's Customer Journey Analytics platform and PowerBI
- MBA or graduate degree in a management field
- Experience in the healthcare of insurance industry
- Experience with retail pharmacy and provider operations
- Experience with Quantum Metrics Digital Analytics Platform
- *Work-At-Home Information
- To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
- At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
- Satellite, cellular and microwave connection can be used only if approved by leadership.
- Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
- Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
- Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).
- Analyze and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
- Serve as liaison between operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
- Maintain and develop data pipeline for NA region
- Automate and improve existing manual processes
- Create tools to help deep diving and investigations into operations execution and business problems
- Analyze and visualize large scale logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
- Standardize processes and bring parity across regions and business teams.
- As a Busines Intelligence Engineer, you are responsible for identifying key metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement. You will be detail oriented, and demonstrate expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. You will blend advanced reporting with strong critical thinking and project management skills. In addition to the key responsibilities you will:
- Partner with Data Engineering and Software Development Engineers to prioritize and define AMXL data and BI development needs.
- Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects.
- Serve as liaison between North America and Europe teams to ensure seamless communication and collaboration as well as standardizing processes across the globe to drive efficiency and effectiveness.
- Implement end to end reporting for the worldwide operational teams to highlight improvement opportunities.
- 10+ years of professional or military experience
- 5+ years of SQL experience
- 5+ years of SQL, ETL or Oracle experience
- 5+ years of processing large, multi-dimensional datasets from multiple sources experience
- 5+ years of performing statistical analysis experience
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
- 1+ years of developing automated reporting experience
- Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
- Manage complex, manual, revenue routing processes to ensure revenue is reported accurately
- Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python.
- Work cross-functionally with billing to ensure revenue is flowing to the right customer accounts
- Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
- Use analytical and statistical rigor to solve complex problems and drive business decisions
- Drive towards simple, scalable solutions to difficult problems
- Project-manage multiple workflows and communicate complex analytical results, both written and verbally
- Work with key business stakeholders to understand requirements and shape analytical deliverables
- Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- You will be owning building of data and AI products that provide stakeholders across Amazon with deep insights to identify and resolve defects. - We own metrics, bridges, anomaly detection, insight generation and defect repair systems used by Senior leadership, stakeholders and business teams across entire Amazon e-commerce organization worldwide.
- You will always be challenged to think several steps ahead so that the solutions we are building today will scale well with future growth and without adding excessive operational overhead.
- You will need to develop deep technical and business understanding of existing system (owned by us as well as other teams across Amazon) as you will responsible for identifying synergies and minimizing investment in redundant features.
- You will work with supply chain operations teams, in-house scientists, other BI Engineers, and software teams to identify enhancement opportunities and new features for our data products.
- Successful candidates should excel at diving into data in order to analyze problems and implement simple, long term solutions.
- This is a highly visible role and will require regular interaction and communication with senior leaders.
- You must have experience and capability to document your work for technical as well as non-technical audiences.
- You will have the opportunity to thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world's most flexible and effective supply chain management technology.
- Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
- The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
- At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
- Serve as a subject matter expert on Redfin's listings data.
- Leverage analytical expertise to deliver simple answers to complex, ambiguous questions.
- Build and maintain Tableau dashboards supporting the Growth analytics reporting portfolio.
- Define success metrics and perform rigorous analyses for experiments.
- Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.
- Serve as a subject matter expert on homeowner audiences and Redfin Estimate product performance and user engagement.
- Leverage analytical expertise to deliver simple answers to complex, ambiguous questions.
- Build and maintain Tableau dashboards supporting the Growth analytics reporting portfolio.
- Define success metrics and perform rigorous analyses for experiments.
- Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.
- 7 years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL
- Background (academic or professional) in statistics, programming, and marketing
- SAS experience a plus
- Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders
- Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
- Statistical testing of A/B and multivariate experiments
- Design, build and maintain metrics and reports on program health
- Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
- Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
- Participate in strategic and tactical planning discussions
- 6 years of experience working with large-scale complex datasets.
- Experience working with executive stakeholders in ecommerce or retail companies.
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions.
- Strong working knowledge of SQL.
- Background (academic or professional) in statistics, programming, and marketing.
- SAS experience a plus.
- Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders.
- Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention.
- Design, build and maintain metrics and reports on program health.
- Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis.
- Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base.
- Participate in strategic and tactical planning discussions.
Zillow, Inc. seeks Senior Business Intelligence Analyst in Seattle, WA. Job Duties: Design, build, and optimize complex SQL-based data transformations and analytical datasets. Develop and maintain ETL pipelines and data models to support scalable analytics and reporting workflows. Build, enhance,
- Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
- 3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
- This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
- Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.
- Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
- Providing technical support for existing reports, dashboards, or other tools.
- Providing reports through office applications to improve business processes.
- Analyzing competitive market strategies through analysis of related products and markets.
- Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
- Managing timely flow of business intelligence information to users.
- Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.
- Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
- 3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
- This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
- Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.
- Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
- Providing technical support for existing reports, dashboards, or other tools.
- Providing reports through office applications to improve business processes.
- Analyzing competitive market strategies through analysis of related products and markets.
- Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
- Managing timely flow of business intelligence information to users.
- Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.
- Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
- 3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
- This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
- Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.
- Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
- Providing technical support for existing reports, dashboards, or other tools.
- Providing reports through office applications to improve business processes.
- Analyzing competitive market strategies through analysis of related products and markets.
- Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
- Managing timely flow of business intelligence information to users.
- Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.
- []{style="font-family: Arial, Helvetica, sans-se
- Bachelor's degree (BA/BS) in a relevant field
- Master's degree (MA/MS) preferred
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Familiarity with Agentic AI concepts, LLMs, or Generative AI tooling in a BI context
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience working in a Sales Operations analytics environment
- Explore and learn the latest AWS technologies and contribute to the team's Agentic reporting development initiatives.
- Implement data pipelines from disparate sources to ingest, transform, and store data in a scalable format that other BI builders can leverage for similar metrics.
- Gather and understand data requirements by working with cross-functional teams to achieve high-quality and scalable data solutions for our products and mechanisms.
- Dive deep into requirements to unearth optimal reporting design (e.g., key dimensions, broadest reporting audience, scalability) with Operations leads and drive constructive technical discussions.
- Build end-to-end BI solutions, from data sourcing through visualization and enablement.
- Determine data lineage to understand the chain of custody and transformation of data, and build enablement material that scales the impact of your solutions.
- Create interactive data visuals with QuickSight, and other AWS-native visualization tools.
- Contribute to the curation and maintenance of centralized knowledge repositories and sources of truth for Partner metrics.
- Support Executive Reporting (Organizational Level 1-4) including in-depth analyses and standardized reporting sources for ASP LT, SMGS LT, and S-Team reporting.
- Participate in causation/correlation research ("finding the Why") to provide proactive insight into trends, churn drivers, and actionable levers.
- You will build scalable reporting artifacts used across the ASP Partner Organization, partnering with Line of Business BI Teams to tell the Partner ecosystem story. You will create trusted data artifacts and Agentic flows, act as an SME on top-line metric drivers, and communicate actionable insights to both technical and non-technical stakeholders. You will contribute to Agentic reporting development, knowledge curation, and causation research - building reporting that is transparent, precise, and tailored for the personas who consume it.
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience visualizing data in Tableau or other relevant data visualization software
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture
- Architect and develop scalable and resilient data solutions, using both traditional dashboards and AI Agents, enabling self-service business intelligence for analytics users.
- Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities.
- Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
- Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
- Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
- Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.
- Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.
- Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
- Stay up-to-date with industry trends and best practices, contributing to the team's evolution through Agentic AI.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story
- Experience in the application of GenAI technologies to drive operational efficiencies and speed to insights
- Lead business discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.
- Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.
- Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.
- Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.
- Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.
- Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
- Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems,
- Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.
- Bachelor's degree in Business, Analytics, Statistics, Economics, or a related field (Master's preferred)
- 5+ years of experience in revenue operations, business analytics, marketing operations, sales operations, or a related analytical role
- Strong understanding of B2B revenue and GTM met
- The Revenue Operations team is responsible for designing, maintaining, and continuously improving the systems, data, and insights that power PitchBook's go-to-market engine. Operating at the intersection of Sales, Marketing, Customer Success, Finance, Product, and IT, this team drives efficiency, visibility, and revenue impact across the full customer lifecycle.
- We are seeking a Senior RevOps Data Analyst to help shape how the business measures performance, identifies growth opportunities, and makes data-driven decisions. This is more than an analytics role, it is a strategic partnership role for someone who combines strong business acumen with advanced analytical skills and a systems-level view of revenue.
- In this role, you will serve as a trusted advisor to senior business leaders, translating complex data into clear insights that guide strategy, execution, and optimization across pipeline, revenue, and customer engagement. You will help build scalable analytics solutions, define success metrics, and elevate how teams use data to make decisions.
- Partner with senior GTM and Revenue leaders to define success metrics, identify growth opportunities, and influence strategic decisions through data-backed insights
- Leverage Salesforce (SFDC) reporting expertise to build and interpret reports and dashboards, translating complex data from systems like Marketo and Gong into clear, actionable insights. Provide visibility into pipeline health, customer lifecycle, and revenue performance while ensuring data integrity, consistent KPIs, and scalable reporting.
- Design and maintain advanced reporting frameworks, dashboards, and models that surface insights across funnel performance, forecasting, retention, and expansion
- Act as a trusted analytical advisor across Sales, Marketing, Customer Success, and Finance, providing a holistic view of revenue performance and operational efficiency
- Ensure data quality, governance, and consistency across revenue systems and platforms, championing best practices and scalable processes
- Identify opportunities for automation, advanced analytics, and predictive insights to improve efficiency, accuracy, and decision-making
- Mentor analysts and business partners by promoting analytical rigor, a data-driven mindset, and adoption of best-in-class tools and practices
- Collaborate closely with Product, Finance, IT, and GTM Operations teams to align insights with broader company objectives
- Support company values through role modeling and strong cross-functional partnership
- Participate in key company initiatives and projects as needed
- 2 to 5 years of experience in an applied research setting.
- Proficiency with PowerPoint, SPSS or DisplayR, and Qualtrics.
- Experience synthesizing data into actionable insights for communications or business decision-making.
- Background in consumer and social research methodologies.
- Ability to operate effectively in a preferred hybrid setting in Washington, DC, or fully remote.
- Capability to provide a writing sample that demonstrates research communication.
- Bachelor's degree required in Social Science, Marketing Research, or a related field.
- Master's degree preferred in Social Science, Marketing Research, or a related field.
- *_Recruitment Transparency Notice_
- *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
- _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
- Develop and write small-scale surveys, screeners, and interview guides.
- Manage vendor deliverables by maintaining research files, performing quality checks, and tracking timelines.
- Conduct statistical analyses using SPSS and other analytic packages.
- Create reports and presentations, including charts and tables, using Excel and PowerPoint.
- Verify accuracy of data and assure the quality of research reports through cross-referencing.
- Compile, synthesize, and analyze secondary research from syndicated sources for internal sharing.
- Collaborate across the research team on ad hoc data requests and support fast-moving projects.
- High School Diploma / GED
- Minimum of ten years progressively responsible IT experience in developing and implementing complex enterprise systems.
- Minimum six years of managerial responsibilities for direct reports- interviewing, hiring, corrective actions, terminations, evaluating staff performances, motivating, training, and delegating.
- Proficiency in business intelligence tools, developing and delivering scorecards, dashboards, and trend data in partnership with the Business Intelligence and Enterprise Architects.
- Strong analytical and problem solving skills.
- Knowledge in building data warehouses, database design, metadata strategy, ETL, and data integration.
- Demonstrated competency in strategic thinking and leadership with strong ability in relationship management.
- Ability to manage financial resources to meet goals and multiple projects.
- Demonstrated competency in project management and the execution of multiple large projects, including managing resources across multiple projects to meet goals.
- *_Disclaimer:_ _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
- *_Compliance Requirement_ _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
- _As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
- _Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
- Bachelor's Degree or Master's Degree in Information Technology, Computer Science, Engineering, or related discipline
- *GENERAL OVERVIEW:
- This job provides strategic leadership and tactical direction working collaboratively with stakeholders from the organization's clinical, financial, and information technology functions. This role is responsible for the development, implementation, and optimization of a business intelligence strategy and plan focused on Business Intelligence, Data Warehouse, and Reporting technologies. Additionally, this role works closely with stakeholders at all levels to identify and prioritize ongoing technology and process improvements. These initiatives will be delivered on current and emerging business intelligence platforms.
- Lead and Develop a High-Performing BI Team: Recruit, mentor, and lead a high-performing team of BI professionals, fostering deep expertise in healthcare data analytics, reporting, and data warehousing concepts, and promoting continuous learning and professional growth within AHN. (20%)
- Define and Lead AHN's BI Strategy: Strategically define, champion, and execute a comprehensive Business Intelligence (BI) roadmap tailored to meet Allegheny Health Network's (AHN) strategic goals for patient care, operational efficiency, quality outcomes, and financial performance. (15%)
- Ensure Data Governance, Quality, and Compliance: Establish and enforce enterprise-wide data governance policies, quality standards, and privacy frameworks across all clinical and operational data sources, ensuring accuracy, consistency, and strict adherence to HIPAA and other healthcare regulations for Protected Health Information (PHI). (15%)
- Optimize Data Infrastructure & Integration: Oversee the design, development, maintenance, and performance optimization of AHN's data warehouses, data lakes, and other data infrastructure, ensuring robust integration, normalization, scalability, and security of data from various clinical and administrative systems. (15%)
- Drive Data Literacy and Utilization Across AHN: Champion and promote data literacy and the effective utilization of BI tools and insights across AHN's clinical, operational, and administrative departments, demonstrating the value derived from comprehensive data analysis. (15%)
- Provide Technical and Analytical Leadership: Offer expert technical leadership in BI development, advanced data querying, and integration patterns, guiding the team in leveraging complex healthcare data models for actionable insights and reporting. (10%)
- Manage BI Project Portfolio and Resources: Effectively manage the BI project portfolio, resource allocation, and project lifecycle, ensuring initiatives are aligned with AHN's strategic priorities, delivered efficiently, and provide measurable value. (10%)