Business Intelligence Analysts
158
postings
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Intern (37)
Entry-level (30)
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Career stage is read from the job title.
Use it to find jobs aimed at where you are right now:
- 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.
Education is the highest degree the posting
explicitly mentions. Postings that don't say are not filtered out — they appear under
"All".
Business Intelligence Manager, Cloud Finance
Google
·
Kirkland, WA
Manager
2026-06-04
WA
2026-06-04
View full posting on CareerOneStop →
ID: a7d5f8327680
Senior Technical Program Manager, Data Analytics
Oracle
·
Olympia, WA
Manager
2026-06-04
WA
2026-06-04
View full posting on CareerOneStop →
ID: 8085429f4346
Manager, Business Intelligence, Support Products & Services
Amazon
·
Seattle, WA
Manager
2026-06-03
WA
2026-06-03
Requirements
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
Preferred
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience working directly with business stakeholders to translate between data and business needs
Responsibilities
- Define long-term analytics vision for SP&S and partner with senior leadership to influence business strategy, roadmaps, and metric standardization through data-driven insights.
- Translate ambiguous business problems into scalable analytical frameworks and data solutions enabling high-impact decision-making.
- Design and oversee large-scale data models, semantic layers, and distributed systems (S3, Redshift, Spark, EMR, Glue) with strong focus on performance, governance, and data quality.
- Apply causal inference, experimentation (A/B testing) etc., models to uncover insights, drive statistical rigor, and influence executive decisions.
- Champion best practices (SQL, Python, ETL), drive self-serve and AI-enabled analytics, and mentor/hire BIE/DE talent to build a high-performing data organization.
View full posting on CareerOneStop →
ID: beef933bd142
Business Intelligence Program Manager
Oracle
·
Olympia, WA
Manager
Master's
2026-06-03
WA
2026-06-03
Requirements
- 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.
Preferred
- 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.
Responsibilities
- 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.
View full posting on CareerOneStop →
ID: fa1fd6f2e58f
Business Intelligence Program Manager
Oracle
·
Boise, ID
Manager
Master's
2026-06-03
ID
2026-06-03
Requirements
- 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.
Preferred
- 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.
Responsibilities
- 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.
View full posting on CareerOneStop →
ID: 63ae87326c0d
Business Intelligence Program Manager
Oracle
·
Salem, OR
Manager
Master's
2026-06-03
OR
2026-06-03
Requirements
- 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.
Preferred
- 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.
Responsibilities
- 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.
View full posting on CareerOneStop →
ID: 978332bf76eb
Business Intelligence Program Manager
Oracle
·
Helena, MT
Manager
Master's
2026-06-03
MT
2026-06-03
Requirements
- 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.
Preferred
- 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.
Responsibilities
- 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.
View full posting on CareerOneStop →
ID: a5786b664c34
Agentic Business Intelligence Manager
DAT Solutions, LLC
·
Seattle, WA
Manager
2026-05-28
WA
2026-05-28
Responsibilities
- Develop and operate agentic solutions to traditional business intelligence responsibilities:
- *KPI development & ownership: Develop and own the key performance indicators that leadership uses to measure business health, ensuring metrics stay aligned with evolving strategic priorities.
- *Strategic & ad-hoc analysis: Partner with stakeholders across Operations, Finance, Product, and Marketing to scope analytical questions, deliver deep-dive insights, and translate findings into clear recommendations that drive business decisions.
- *BI development & reporting: Build and maintain dashboards, reports, and data models that make key business metrics accessible, accurate, and trustworthy across the organization.
- *Agent design & deployment: Design, prototype, and deploy AI agents that augment BI workflows, including agents that monitor metrics for anomalies, generate narrative summaries, answer ad-hoc data questions, and automate routine reporting cycles.
- *Performance monitoring & iteration: Track how deployed agents and dashboards perform in the wild, gather feedback from end users, and continuously refine outputs to improve accuracy, usefulness, and adoption over time.
- *Automation opportunity identification: Spot repetitive analytical tasks across the organization and evaluate which are best suited for agentic automation versus traditional BI tooling, balancing impact, complexity, and risk.
- *Data quality & integrity: Partner with Data Engineering to validate source data, surface inconsistencies, and ensure that both human-facing analyses and agent outputs are built on a trustworthy foundation.
View full posting on CareerOneStop →
ID: 2d57cc05d5ed
Sr. Manager, Business Intelligence & Analytics
Datavant
·
Olympia, WA
Manager
2026-05-22
WA
2026-05-22
View full posting on CareerOneStop →
ID: 3221a016b17c
Sr. Manager, Business Intelligence & Analytics
Datavant
·
Boise, ID
Manager
2026-05-22
ID
2026-05-22
View full posting on CareerOneStop →
ID: 00253acee11a
Sr. Manager, Business Intelligence & Analytics
Datavant
·
Salem, OR
Manager
2026-05-22
OR
2026-05-22
View full posting on CareerOneStop →
ID: 1092d2eaf835
Senior Program Manager - Tech, Quick Sight - Structured Data Analytics
Amazon
·
Seattle, WA
Manager
2026-05-19
WA
2026-05-19
Requirements
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
Responsibilities
- Own complex, cross-functional programs end-to-end - define the program mission, vision, and tenets; set objectives; create plans with clear, measurable success criteria; and drive engineering teams inside and outside your organization to deliver.
- Operate with deep technical judgment. Understand system architectures, dependencies, scaling factors, and boundary conditions. Question proposals, test assumptions, decouple dependencies, and ensure engineering teams are focused on the right solutions for the customer. Hold teams to a high standard for both solution design and engineering practices.
- Negotiate priorities and make crisp trade-offs - time vs. scope vs. cost, short-term needs vs. long-term architecture, feature velocity vs. operational excellence. Use data relentlessly to inform decisions and communicate progress.
- Drive alignment across product, engineering, and business stakeholders. Ensure business and technical needs stay synchronized. Provide context - past, current, and future - for technology choices. When confronted with discordant views, find the best path forward and influence others to follow it.
- Key contributor to critical success metric with specific high value external facing customers and associated opportunities
View full posting on CareerOneStop →
ID: 87deccfa9cb1
Manager, Business Intelligence
Humana
·
Boise, ID
Manager
Bachelor's
2026-05-16
ID
2026-05-16
Requirements
- Minimum 5 years of technical experience in data analysis
- Minimum 3 years of experience in SQL development
- Advanced experience working with big and complex data sets within large organizations
- Hands-on experience working with Databricks
- Healthcare knowledge within the Medicare/Medicaid space
- Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
- Proficiency in understanding Healthcare related data
- Proficiency in verbal/written communication to senior and executive leadership
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
- Must be able to accommodate business hours according to Eastern Standard Time
- Experience in building and maintaining visualization suites that support a wide array of business customers
- Demonstrated experience in developing and mentoring junior staff members
- Maintain availability outside standard business hours based on business need
Preferred
- Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
- Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
- Experience analyzing Medicare Enrollment and Membership data including 834 file processing
- Experience with tools such as Power BI for creating data visualizations
- Expertise in data mining, forecasting, simulation, and/or predictive modeling
- Experience creating analytics solutions for various healthcare sectors
- Experience in cloud computing (Azure preferred)
- Experience managing workloads via Azure DevOps
- Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
- Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
- Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
- *Additional Information
View full posting on CareerOneStop →
ID: 634b860d5abd
Manager, Business Intelligence
Humana
·
Salem, OR
Manager
Bachelor's
2026-05-16
OR
2026-05-16
Requirements
- Minimum 5 years of technical experience in data analysis
- Minimum 3 years of experience in SQL development
- Advanced experience working with big and complex data sets within large organizations
- Hands-on experience working with Databricks
- Healthcare knowledge within the Medicare/Medicaid space
- Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
- Proficiency in understanding Healthcare related data
- Proficiency in verbal/written communication to senior and executive leadership
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
- Must be able to accommodate business hours according to Eastern Standard Time
- Experience in building and maintaining visualization suites that support a wide array of business customers
- Demonstrated experience in developing and mentoring junior staff members
- Maintain availability outside standard business hours based on business need
Preferred
- Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
- Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
- Experience analyzing Medicare Enrollment and Membership data including 834 file processing
- Experience with tools such as Power BI for creating data visualizations
- Expertise in data mining, forecasting, simulation, and/or predictive modeling
- Experience creating analytics solutions for various healthcare sectors
- Experience in cloud computing (Azure preferred)
- Experience managing workloads via Azure DevOps
- Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
- Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
- Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
- *Additional Information
View full posting on CareerOneStop →
ID: 3590ab034c56
Business Intel Engineer II, SCOT - Automated Inventory Management
Amazon
·
Bellevue, WA
Manager
Master's
2026-05-16
WA
2026-05-16
Requirements
- 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
Preferred
- 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
Responsibilities
- 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!
View full posting on CareerOneStop →
ID: 47c9cacd1445
Senior Product Manager - Technical, Quick Sight - Structured Data Analytics
Amazon
·
Seattle, WA
Manager
Bachelor's
2026-05-16
WA
2026-05-16
Requirements
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
Responsibilities
- Drive product delivery in deep partnership with engineering, applied science, and design. Drive product specifications, make crisp tradeoff decisions, and ensure high bar on the quality and user experience
- Be hands-on with the technology. Whether that means understanding how a semantic model resolves a natural language query, how an embedded analytics SDK integrates into a partner's React app, or how a pricing SKU flows through AWS billing - you operate at the level of detail where real product decisions are made.
- Own the customer journey from first contact through enterprise-wide adoption for critical engagement. Partner with GTM and Sales teams to design onboarding pathways, migration playbooks, and growth motions that reduce friction, accelerate time-to-value, and turn successful deployments into organization-wide productivity gains.
- Engage directly with enterprise customers, ISV partners, and AWS field teams. Turn what you hear into product conviction - not just feature requests, but insight into where the market is moving and what customers will need before they know to ask for it.
- Directly contribute to business outcomes - adoption, revenue, competitive win rates, customer retention. Use data relentlessly to prioritize, to make the case for investment, and to communicate progress to senior leadership.
View full posting on CareerOneStop →
ID: 9d8d4612075c
Manager, Business Intelligence
Humana
·
Olympia, WA
Manager
Bachelor's
2026-05-16
WA
2026-05-16
Requirements
- Minimum 5 years of technical experience in data analysis
- Minimum 3 years of experience in SQL development
- Advanced experience working with big and complex data sets within large organizations
- Hands-on experience working with Databricks
- Healthcare knowledge within the Medicare/Medicaid space
- Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
- Proficiency in understanding Healthcare related data
- Proficiency in verbal/written communication to senior and executive leadership
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
- Must be able to accommodate business hours according to Eastern Standard Time
- Experience in building and maintaining visualization suites that support a wide array of business customers
- Demonstrated experience in developing and mentoring junior staff members
- Maintain availability outside standard business hours based on business need
Preferred
- Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
- Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
- Experience analyzing Medicare Enrollment and Membership data including 834 file processing
- Experience with tools such as Power BI for creating data visualizations
- Expertise in data mining, forecasting, simulation, and/or predictive modeling
- Experience creating analytics solutions for various healthcare sectors
- Experience in cloud computing (Azure preferred)
- Experience managing workloads via Azure DevOps
- Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
- Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
- Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
- *Additional Information
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ID: 9f5132710d77
(USA) Senior Manager, Data Analytics
Walmart
·
Bentonville, AR
Manager
2026-05-13
AR
2026-05-13
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ID: 4517a3af26b8
(USA) Manager, Data Analytics
Walmart
·
San Bruno, CA
Manager
2026-05-12
WA
2026-05-12
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ID: 8183b9c7691f
Senior Technology Manager - Data Analytic Platforms
Bank of America
·
Plano, TX
Manager
2026-05-12
TX
2026-05-12
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ID: fa99b407893b
Senior Data Analytics Reporting Analyst - Investment Consultancy & Oversight and Multi-Manager Solutions
Ameriprise Financial
·
Minneapolis, MN
Manager
2026-05-12
MN
2026-05-12
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ID: f5e30d04b64f
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Olympia, WA
Manager
Doctorate
2026-05-10
WA
2026-05-10
Requirements
- Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 5 years of experience performing professional data analysis work
- At least 5 years of experience leading and developing with open source data technologies
- At least 2 years of experience managing people
Preferred
- Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
- At least 7 years of experience in statistical or econometrics hands-on work
- At least 5 years of experience manipulating and performing analysis with large data sets
- At least 5 years of experience in financial services industry
- At least 5 years of experience in developing statistical or econometric models
- At least 5 years of experience in validating statistical or econometric models
- At least 2 years of experience with data governance
- At least 2 years of experience with predictive analytics
- At least 2 years of experience with B2B SaaS products
- _At this time, Capital One will not sponsor a new applicant for employment authorization for this position._
- The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
- Remote (Regardless of Location): $182,500 - $208,300 for Sr. Data Analysis Manage
- Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manage
- Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
- This role is expected to accept applications for a minimum of 5 business days.
Responsibilities
- Partnership : Partner with stakeholders across the GTM organization, including Sales, Sales Operations, Solutions Architecture, and Customer Success Leaders to identify and address reporting and analysis needs
- Execution : Manage and sequence delivery of reporting and data needs, build business requirements and execute against these requirements. Own and drive multiple projects concurrently
- Dashboarding and Visualization : Ability to create dashboards and data visualizations that deliver business insights and information at scale
- Strategic & Analytic Orientation : A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation and data driven approach
- Collaboration : Ability to collaborate and work with business partners across the enterprise. You should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results in a fast growing, matrixed environment
- Strong Executive Communication Skills : Impeccable written and oral communication credentials, coupled with the ability to deliver core business reports to GTM leadership
- Clear Results Orientation : Display an intense focus on achieving both short and long term goals. You should be able to drive and execute an agenda in an uncertain and fluid environment, including the preparation of ad-hoc analysis and reports
- People Leadership: Provide effective coaching, and consistent feedback. Establish clear expectations and actively develop your associates' skills.
View full posting on CareerOneStop →
ID: a63151c12872
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Boise, ID
Manager
2026-05-10
ID
2026-05-10
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ID: dfed7c029a2b
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Salem, OR
Manager
2026-05-10
OR
2026-05-10
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ID: d59faa5d3a44
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Helena, MT
Manager
2026-05-10
MT
2026-05-10
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ID: 891e686d6671
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Cheyenne, WY
Manager
2026-05-10
WY
2026-05-10
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ID: 78bad4e69d18
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Salt Lake City, UT
Manager
2026-05-10
UT
2026-05-10
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ID: 815e3e437951
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Carson City, NV
Manager
2026-05-10
NV
2026-05-10
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ID: f085de6de322
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Bismarck, ND
Manager
2026-05-10
ND
2026-05-10
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ID: 470d84b869a1
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Pierre, SD
Manager
2026-05-10
SD
2026-05-10
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ID: cff70b1a8fab
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Sacramento, CA
Manager
2026-05-10
CA
2026-05-10
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ID: 785607df8eed
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Phoenix, AZ
Manager
2026-05-10
AZ
2026-05-10
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ID: e8cc1100162c
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Santa Fe, NM
Manager
2026-05-10
NM
2026-05-10
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ID: 8e7647b48b29
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Denver, CO
Manager
2026-05-10
CO
2026-05-10
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ID: d1585398cc14
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Lincoln, NE
Manager
2026-05-10
NE
2026-05-10
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ID: f3e3e16b9531
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Topeka, KS
Manager
2026-05-10
KS
2026-05-10
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ID: 639f4879cc17
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Oklahoma City, OK
Manager
2026-05-10
OK
2026-05-10
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ID: 2b29df28c9cd
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Austin, TX
Manager
2026-05-10
TX
2026-05-10
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ID: 56f0be9ff02c
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Saint Paul, MN
Manager
2026-05-10
MN
2026-05-10
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ID: 40ba9a833214
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Des Moines, IA
Manager
2026-05-10
IA
2026-05-10
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ID: e3eefe93c1b6
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Jefferson City, MO
Manager
2026-05-10
MO
2026-05-10
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ID: be89c19d2647
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Little Rock, AR
Manager
2026-05-10
AR
2026-05-10
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ID: 299f42c227c4
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Baton Rouge, LA
Manager
2026-05-10
LA
2026-05-10
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ID: 6762bf7f3f92
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Madison, WI
Manager
2026-05-10
WI
2026-05-10
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ID: d9400f4e2a63
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Springfield, IL
Manager
2026-05-10
IL
2026-05-10
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ID: 2984f746cfa6
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Jackson, MS
Manager
2026-05-10
MS
2026-05-10
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ID: f72f26cf9cf3
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Montgomery, AL
Manager
2026-05-10
AL
2026-05-10
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ID: dec057537726
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Nashville, TN
Manager
2026-05-10
TN
2026-05-10
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ID: 03d74017ba05
Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
Capital One
·
Frankfort, KY
Manager
2026-05-10
KY
2026-05-10
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ID: 02d05f12bef3
Data Warehousing SQL Server Data Management Data Analysis Developer
COOLSOFT
·
Madison, WI
Manager
2026-05-09
WI
2026-05-09
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ID: a862e67a95b1
Lead Project Data Analytics Management Specialist
The Boeing Company
·
Saint Charles, MO
Manager
2026-05-08
MO
2026-05-08
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ID: 07969305d708
Manager, Data Analytics
Walmart
·
Bentonville, AR
Manager
2026-05-08
AR
2026-05-08
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ID: a1be839f7e92
Manager, Data Analytics
Walmart
·
Bentonville, AR
Manager
2026-05-08
AR
2026-05-08
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ID: efedf131413c
Senior Manager, Data Analytics
Walmart
·
Bentonville, AR
Manager
2026-05-08
AR
2026-05-08
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ID: d0af0850ef65
Manager Reporting and Data Analysis
Elevance Health
·
Nashville, TN
Manager
2026-05-07
TN
2026-05-07
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ID: 5ceaf51babf9
Senior Manager of Data Engineering & Business Intelligence, Alexa Audio
Amazon
·
Seattle, WA
Manager
2026-05-06
WA
2026-05-06
Requirements
- 8+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
Preferred
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with software development lifecycle
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in any Bigdata architecture and experience in managing and troublshooting network
- Experience working directly with business stakeholders to translate between data and business needs
Responsibilities
- Delivery of robust, scalable data solutions supporting Alexa Audio's data infrastructure across all content verticals, endpoints, and geos
- Enhancement of reporting and analytics capabilities serving Alexa Audio Product Directors, Technical Directors, Product Management, Partner Management, and Central BI/Finance teams
- Leadership in data governance, quality standards, and SLA enforcement across the Audio data ecosystem
- Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models
- Own and evolve WBR/MBR reporting, self-service analytics, and ad hoc deep-dive capabilities
- Collaborate with Product Management, BI teams, and stakeholders to prioritize work aligned with Alexa Audio business goals
- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation
- Drive team growth through mentoring, coaching, and career development
- Reduce time-to-insight for product, leadership, and partner teams by increasing data availability and efficiency
- Ensure stakeholders trust the numbers they use to make decisions by improving data confidence and reliability
View full posting on CareerOneStop →
ID: ecac3127279c
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Olympia, WA
Manager
Bachelor's
2026-05-06
WA
2026-05-06
Requirements
- Bachelor's degree or equivalent practical experience.
- 8+ years of experience in product management or related technical roles.
- 5+ years of experience taking technical infrastructure or data products from conception to launch.
- Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering.
- Experience defining and launching products in the data infrastructure, analytics database, or stream processing space.
- Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization.
- Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership.
- *What Gives You an Edge:
- Engineering background in analytical databases, stream processing, or distributed storage systems.
- Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user.
- Familiarity with Kafka, Flink, or similar streaming infrastructure.
- Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery.
- Prior experience with cloud-native infrastructure products and consumption-based pricing models.
- Experience working on open source data infrastructure projects.
- *Ready to build what's next? Let's get in motion.
- *Come As You Are
- Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.
Responsibilities
- Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation.
- As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it.
- This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases.
- *What You Will Do:
- Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience.
- Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative.
- Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics.
- Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale.
- Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it.
- Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning.
- Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud.
- Define success metrics, cost models, and pricing strategy for a new product area.
- Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership.
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ID: 6086bd0df0e4
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Boise, ID
Manager
2026-05-06
ID
2026-05-06
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ID: 81aa82440ff5
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Salem, OR
Manager
2026-05-06
OR
2026-05-06
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ID: e615e12f2f0f
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Helena, MT
Manager
2026-05-06
MT
2026-05-06
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ID: cb122771f16b
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Cheyenne, WY
Manager
2026-05-06
WY
2026-05-06
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ID: 68c33ae4519b
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Salt Lake City, UT
Manager
2026-05-06
UT
2026-05-06
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ID: 4baaa7c8398b
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Carson City, NV
Manager
2026-05-06
NV
2026-05-06
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ID: 4624ff84fddd
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Bismarck, ND
Manager
2026-05-06
ND
2026-05-06
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ID: 876b37b0bf54
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Pierre, SD
Manager
2026-05-06
SD
2026-05-06
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ID: 0ff7002018a8
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Phoenix, AZ
Manager
2026-05-06
AZ
2026-05-06
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ID: 0263cf2d8e2d
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Santa Fe, NM
Manager
2026-05-06
NM
2026-05-06
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ID: 1dca568a4d5e
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Denver, CO
Manager
2026-05-06
CO
2026-05-06
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ID: 4d4a785d335a
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Lincoln, NE
Manager
2026-05-06
NE
2026-05-06
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ID: 21e6fe66ce8e
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Topeka, KS
Manager
2026-05-06
KS
2026-05-06
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ID: cca904ab648c
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Oklahoma City, OK
Manager
2026-05-06
OK
2026-05-06
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ID: 2706c206f6d6
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Saint Paul, MN
Manager
2026-05-06
MN
2026-05-06
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ID: 995ea70e010b
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Des Moines, IA
Manager
2026-05-06
IA
2026-05-06
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ID: 16879d0ecaba
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Jefferson City, MO
Manager
2026-05-06
MO
2026-05-06
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ID: 0d8a9ed658aa
Senior Manager, Data Analytics (Walmart+)
Walmart
·
Bentonville, AR
Manager
2026-05-06
AR
2026-05-06
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ID: b8caa1e6acbc
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Little Rock, AR
Manager
2026-05-06
AR
2026-05-06
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ID: dc5131d83afc
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Baton Rouge, LA
Manager
2026-05-06
LA
2026-05-06
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ID: 1200332986c8
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Madison, WI
Manager
2026-05-06
WI
2026-05-06
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ID: 717e2b0dae2d
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Springfield, IL
Manager
2026-05-06
IL
2026-05-06
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ID: e63dd2314ee1
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Jackson, MS
Manager
2026-05-06
MS
2026-05-06
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ID: fba144b369f7
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Montgomery, AL
Manager
2026-05-06
AL
2026-05-06
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ID: 1886f23e6b3d
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Nashville, TN
Manager
2026-05-06
TN
2026-05-06
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ID: 3d3d86459fd8
Staff Product Manager, Real Time Data Analytics Platform
Confluent
·
Frankfort, KY
Manager
2026-05-06
KY
2026-05-06
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ID: 259d7d4efb9a
Technical Program Manager III, Data Analytics, Cloud Networking
Google
·
Kirkland, WA
Manager
Bachelor's
2026-05-05
WA
2026-05-05
Requirements
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience with data analytics, reporting, and scripting using SQL.
- Experience with dashboards or data visualization platforms.
Preferred
- 5 years of experience managing cross-functional or cross-team projects.
- Experience in data centers, network infrastructure, including optical transport, dark and leased fiber, cross-connects, etc.
- Experience in vendor management in the telecommunications/network industry.
- Excellent stakeholder management, with the ability to influence at all levels of the organization.
Responsibilities
- 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 Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
- Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- The US base salary range for this full-time position is $163,000-$237,000 + 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/) .
- Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
- Prioritize program goals, understand and translate other stakeholders' needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
- Define the scope of projects and develop, execute, and/or manage project plans for supported program(s).
- Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
- Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
- 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) .
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ID: 94b5a359a911
Market & Business Intelligence Manager
DLA Piper LLP (US)
·
Seattle, WA
Manager
2026-05-05
WA
2026-05-05
Preferred
- Proven success building and leading analytics teams. Leadership & Team Management: Demonstrated ability to develop talent and lead cross-functio
Responsibilities
- Team Leadership and Development: Manage and mentor a team of analysts, fostering a collaborative, high-performance culture.
- Strategic Planning and Execution: Design and implement analytics strategies that align with firm goals, including proactive intelligence delivery and client segmentation.
- Project Management: Lead analytics projects from scope to delivery, ensuring timelines, quality standards, and stakeholder expectations are met.
- Stakeholder Engagement: Partner with senior leaders across Sector Practices, Practice Groups, Business Development & Marketing, and corporate groups to understand needs and deliver actionable insights.
- Data Governance and Compliance: Ensure adherence to data governance policies, maintaining data quality, security, and regulatory compliance.
- Tool Development and Enhancement: Oversee the evolution of internal tools for advanced business analytics, workflow automation, and reporting capabilities.
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ID: ca93ecd3322a
Senior Consultant, Data Management (Data Analyst)
Travelers Insurance Company
·
Saint Paul, MN
Manager
2026-05-01
MN
2026-05-01
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ID: dbb7aacd6e82
Manager, Business Intelligence, Seller Development
Amazon
·
Seattle, WA
Manager
2026-04-30
WA
2026-04-30
Requirements
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
Preferred
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience with A/B testing
- Experience building large-scale, high-throughput, 24x7 data systems
- Familiarity with agentic AI systems or LLM observability tooling
Responsibilities
- Lead, mentor, and grow a team of BIEs and Business Analysts, providing technical guidance, career development, and prioritization
- Establish technical standards, code review practices, and documentation norms for the team
- Design and build data and monitoring pipelines for AI-powered growth advisor products across our portfolio
- Architect reusable, shared data infrastructure across AI product teams - replacing one-off solutions with shared primitives new teams can adopt from day one
- Define measurement infrastructure for AI-driven experiences, capturing seller engagement, adoption of key recommended actions, and attributable sales impact
- Partner with product and science teams to establish causal frameworks connecting seller actions to business outcomes
- Ensure reliable delivery of weekly business reviews, performance metrics, and ad hoc analysis in support of goals and quarterly business reviews
- Build prioritization frameworks that balance strategic infrastructure work against recurring reporting commitments
- Serve as the primary BI technical partner for product, science, and engineering across Growth Optimization
- Align stakeholders across product, advertising, promotions, and pricing teams on shared data contracts and analytical standards
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ID: 0793c8f7ddd4
Senior Manager - Data Analytics
American Express
·
Phoenix, AZ
Manager
2026-04-30
AZ
2026-04-30
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ID: 8be3b1138631
Sr Data Analyst/Content Manager- Arnold, MO
BAE Systems
·
Saint Louis, MO
Manager
2026-04-30
MO
2026-04-30
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ID: 09d41bf7f64a
Senior Manager, Data Analytics, Utility - Walmart Energy
Walmart
·
Bentonville, AR
Manager
2026-04-30
AR
2026-04-30
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ID: 6e7609a2d3f1
Data Analytics Manager- Data Lake
Deloitte
·
Seattle, WA
Manager
Bachelor's
2026-04-29
WA
2026-04-29
Requirements
- 6+ years of relevant analytics consulting or industry experience
- 4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
- 4+ years of experience in statistical analysis, machine learning, and data mining techniques
- 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
- 3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
- 2+ years of experience with SOC threat hunting and incident response
- Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
- Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
- Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred
- Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
- Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
- Experience parsing and normalizing cyber or IT specific telemetry datasets
- Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
- Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
- Ability to work independently and manage multiple task assignments.
- Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
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ID: b6368c231586
Manager Data Analytics
Serco
·
Olympia, WA
Manager
Bachelor's
2026-04-29
WA
2026-04-29
Requirements
- At Serco, we deliver mission-critical services and technology solutions that enable our government customers to operate more effectively, securely, and efficiently. We support complex federal missions across defense, civilian, and intelligence domains by combining deep domain expertise with modern digital, data, and cloud capabilities. Our teams are trusted partners to our customers, committed to technical excellence, innovation, and disciplined execution in highly regulated environments.
- We are seeking a Data Analytics Manager. This role will be responsible for building, managing, and enabling high-performing data analytics teams that deliver solutions employing data management, operations research, machine learning, statistics, business intelligence, and low-code automation for internal initiatives and government contracts.
- *This position is contingent upon your ability to obtain/maintain a Secret security clearance
- *In this role, you will:
- Perform advanced analysis and develop tools to advance digital transformation efforts.
- Use and mentor others in methods of data management, operations research, machine learning, statistics, business intelligence, and low-code automation (e.g., Power Platform)
- Partner with program managers, data scientists, data engineers, cybersecurity staff, and customer stakeholders to translate mission and business requirements into robust technical data solutions.
- Support capture and proposal efforts by defining analytics approaches, estimating level of effort, and articulating technical solutions for government solicitations.
- Identify opportunities to insert automation, digital tools, and data visualization to help customers make data-driven decisions.
- Provide technical leadership and risk management across multiple programs, ensuring consistent, repeatable delivery of data analytics capabilities.
- *To be successful in this role, you will have:
- U.S Citizenship
- An active Secret Security Clearance, or the ability to obtain one
- Bachelor's degree in computer science, engineering, information systems, operations research, data science, or a related technical discipline
- Additional 10 years of experience may be substituted for a STEM degree
- Minimum of 5 years of progressive experience in data analytics, data science, operations research, or closely related roles, including 2 years in a technical leadership or management capacity
- Hands-on experience with data analytics and automation technologies such Python, R, SQL, Power Platform (Power Apps, Power Automate), and business intelligence tools (e.g., Power BI)
- Working knowledge of artificial intelligence concepts and their relationship to data analytics, including where AI can augment analysis, automation, and decision-making, as well as limitations, risks, and ethical considerations
- Knowledge of use cases and developing models that include the use of probability, statistics, simulation, optimization, machine learning, and heuristics
- Knowledge of various data management frameworks, principles, and best practices
- Knowledge of data management maturity assessment processes and implementation
- Strong leadership, communication, and stakeholder engagement skills, with the ability to explain complex technical concepts to non-technical audiences
- Experience deploying solutions in government or highly regulated environments, with an understanding of compliance, documentation, and operational rigor expectations
- Ability to travel up to 10%
Preferred
- Experience contributing to technical proposals, white papers, or solution architectures for government customers
- Security + certification or other cyber certification/experience
- If you are interested in supporting and working with our military leaders and a passionate Serco team- then submit your application now for immediate consideration. It only takes a few minutes and could change your career!
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ID: b393ca21667a
Manager Data Analytics
Serco
·
Boise, ID
Manager
2026-04-29
ID
2026-04-29
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ID: 4fa337c3be9e
Manager Data Analytics
Serco
·
Salem, OR
Manager
2026-04-29
OR
2026-04-29
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ID: 170e2e0958ee
Manager Data Analytics
Serco
·
Helena, MT
Manager
2026-04-29
MT
2026-04-29
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ID: f14303237bfd
Manager Data Analytics
Serco
·
Cheyenne, WY
Manager
2026-04-29
WY
2026-04-29
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ID: 2ade92727292
Manager Data Analytics
Serco
·
Salt Lake City, UT
Manager
2026-04-29
UT
2026-04-29
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ID: 4e5db0a9164a
Manager Data Analytics
Serco
·
Carson City, NV
Manager
2026-04-29
NV
2026-04-29
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ID: 9715258e485c
Manager Data Analytics
Serco
·
Bismarck, ND
Manager
2026-04-29
ND
2026-04-29
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ID: 84f5d575c422
Manager Data Analytics
Serco
·
Pierre, SD
Manager
2026-04-29
SD
2026-04-29
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ID: 2845198a0156
Manager Data Analytics
Serco
·
Phoenix, AZ
Manager
2026-04-29
AZ
2026-04-29
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ID: 798e037794e3
Manager Data Analytics
Serco
·
Santa Fe, NM
Manager
2026-04-29
NM
2026-04-29
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ID: a1f0b6bbc51b
Manager Data Analytics
Serco
·
Denver, CO
Manager
2026-04-29
CO
2026-04-29
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ID: 682793e47ff4
Manager Data Analytics
Serco
·
Lincoln, NE
Manager
2026-04-29
NE
2026-04-29
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ID: 5a75495a1435
Manager Data Analytics
Serco
·
Topeka, KS
Manager
2026-04-29
KS
2026-04-29
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ID: 376458a3e300
Manager Data Analytics
Serco
·
Oklahoma City, OK
Manager
2026-04-29
OK
2026-04-29
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ID: 50006b2555e6
Manager Data Analytics
Serco
·
Saint Paul, MN
Manager
2026-04-29
MN
2026-04-29
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ID: 7bc1eba32da1
Manager Data Analytics
Serco
·
Des Moines, IA
Manager
2026-04-29
IA
2026-04-29
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ID: c807afa0e5c1
Manager Data Analytics
Serco
·
Jefferson City, MO
Manager
2026-04-29
MO
2026-04-29
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ID: f78e111af159
Manager Data Analytics
Serco
·
Little Rock, AR
Manager
2026-04-29
AR
2026-04-29
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ID: 61bb8c6e86ef
Manager Data Analytics
Serco
·
Baton Rouge, LA
Manager
2026-04-29
LA
2026-04-29
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ID: 04613df35920
Manager Data Analytics
Serco
·
Jackson, MS
Manager
2026-04-29
MS
2026-04-29
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ID: 4b6a346c2411
Manager Data Analytics
Serco
·
Montgomery, AL
Manager
2026-04-29
AL
2026-04-29
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ID: a00f018b8b6b
Data Analytics Manager- Data Lake
Deloitte
·
Hermitage, TN
Manager
2026-04-29
TN
2026-04-29
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ID: 2ecc3c9bf8e5
Data Analytics Manager- Data Lake
Deloitte
·
Memphis, TN
Manager
2026-04-29
TN
2026-04-29
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ID: 7ab0413691ec
Data Analytics Manager- Data Lake
Deloitte
·
Nashville, TN
Manager
2026-04-29
TN
2026-04-29
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ID: ca2c9395d08c
Manager Data Analytics
Serco
·
Nashville, TN
Manager
2026-04-29
TN
2026-04-29
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ID: cda60a2460f8
Manager Data Analytics
Serco
·
Frankfort, KY
Manager
2026-04-29
KY
2026-04-29
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ID: edeab7f0ee4d
Manager, Data Analytics CES
Walmart
·
Bentonville, AR
Manager
2026-04-28
AR
2026-04-28
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ID: 4673d2d1111e
Senior Manager, Data Analytics (Supplier Finance Data Strategy)
Walmart
·
Bentonville, AR
Manager
2026-04-28
AR
2026-04-28
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ID: 3f1b1d369827
Senior Manager, Data Analytics-CES Data Enablement (Return Business)
Walmart
·
Bentonville, AR
Manager
2026-04-28
AR
2026-04-28
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ID: d27c92d35a5f
Senior Business Intelligence Manager
MYRIAD GENETICS, INC.
·
Salt Lake City, UT
Manager
2026-04-25
UT
2026-04-25
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ID: c55ea3b0908c
Manager, Data Analytics - Marketplace Seller Fulfilled
Walmart
·
Bentonville, AR
Manager
2026-04-22
AR
2026-04-22
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ID: 945230858c75
Senior Manager, Data Analytics
Walmart
·
Bentonville, AR
Manager
2026-04-18
AR
2026-04-18
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ID: 77ec5833a992
Senior Manager, Data Analytics - Driver Acquisition Marketing
Walmart
·
Bentonville, AR
Manager
2026-04-14
AR
2026-04-14
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ID: 0fb313a003a9
Senior Manager, Supply Chain Management- Fulfillment + Reverse, Data Analytics
Walmart
·
Bentonville, AR
Manager
2026-04-09
AR
2026-04-09
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ID: 0beb2e6ede56
Manager Customer Insights & Data Analytics
Ryder System
·
Olympia, WA
Manager
2026-04-07
WA
2026-04-07
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ID: e3da213f1363
Manager Customer Insights & Data Analytics
Ryder System
·
Boise, ID
Manager
2026-04-07
ID
2026-04-07
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ID: 14e80e2fade9
Manager Customer Insights & Data Analytics
Ryder System
·
Salem, OR
Manager
2026-04-07
OR
2026-04-07
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ID: 4b2484f6ef48
Manager Customer Insights & Data Analytics
Ryder System
·
Helena, MT
Manager
2026-04-07
MT
2026-04-07
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ID: 27bbcd189b5e
Manager Customer Insights & Data Analytics
Ryder System
·
Cheyenne, WY
Manager
2026-04-07
WY
2026-04-07
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ID: 04cf4ada7a13
Manager Customer Insights & Data Analytics
Ryder System
·
Carson City, NV
Manager
2026-04-07
NV
2026-04-07
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ID: 8354461d339b
Manager Customer Insights & Data Analytics
Ryder System
·
Bismarck, ND
Manager
2026-04-07
ND
2026-04-07
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ID: eb8326a7d863
Manager Customer Insights & Data Analytics
Ryder System
·
Pierre, SD
Manager
2026-04-07
SD
2026-04-07
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ID: d15a6588fccc
Manager Customer Insights & Data Analytics
Ryder System
·
Santa Fe, NM
Manager
2026-04-07
NM
2026-04-07
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ID: ace48de69a18
Manager Customer Insights & Data Analytics
Ryder System
·
Lincoln, NE
Manager
2026-04-07
NE
2026-04-07
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ID: acae30ac1115
Manager Customer Insights & Data Analytics
Ryder System
·
Topeka, KS
Manager
2026-04-07
KS
2026-04-07
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ID: b52e5d23a789
Manager Customer Insights & Data Analytics
Ryder System
·
Oklahoma City, OK
Manager
2026-04-07
OK
2026-04-07
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ID: aa51c0276124
Manager Customer Insights & Data Analytics
Ryder System
·
Little Rock, AR
Manager
2026-04-07
AR
2026-04-07
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ID: 016a549e06fd
Manager Customer Insights & Data Analytics
Ryder System
·
Baton Rouge, LA
Manager
2026-04-07
LA
2026-04-07
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ID: e443a36d3a5d
Manager Customer Insights & Data Analytics
Ryder System
·
Jackson, MS
Manager
2026-04-07
MS
2026-04-07
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ID: 3f26a7612d17
Senior Manager, Data Analytics
Walmart
·
Bentonville, AR
Manager
2026-03-26
AR
2026-03-26
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ID: b96b0b760a27
Senior Manager, Technical Program Management, Data Analytics & Insights
Walmart
·
Bellevue, WA
Manager
2026-03-24
WA
2026-03-24
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ID: 266f592a2334
Manager, Business Intelligence & Project Management (Twin Falls, ID, US)
Chobani
·
Twin Falls, ID
Manager
2026-03-21
ID
2026-03-21
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ID: 24f0a2d79f6e
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Olympia, WA
Manager
2026-03-19
WA
2026-03-19
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ID: 22de3f001d99
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Boise, ID
Manager
2026-03-19
ID
2026-03-19
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ID: b2d83201dd2f
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Salem, OR
Manager
2026-03-19
OR
2026-03-19
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ID: 52a28639cb83
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Helena, MT
Manager
2026-03-19
MT
2026-03-19
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ID: 9cfd28b76cc7
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Cheyenne, WY
Manager
2026-03-19
WY
2026-03-19
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ID: 9eca887b1dd7
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Carson City, NV
Manager
2026-03-19
NV
2026-03-19
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ID: 414e5afee6bc
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Bismarck, ND
Manager
2026-03-19
ND
2026-03-19
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ID: a090d6ed8dc4
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Pierre, SD
Manager
2026-03-19
SD
2026-03-19
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ID: fe0a0b84a5ca
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Santa Fe, NM
Manager
2026-03-19
NM
2026-03-19
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ID: 02b9979188e4
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Lincoln, NE
Manager
2026-03-19
NE
2026-03-19
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ID: 755f304f6700
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Oklahoma City, OK
Manager
2026-03-19
OK
2026-03-19
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ID: a4e8a02d97cc
Sr. Manager of Data Analytics & Reporting
Public Consulting Group
·
Little Rock, AR
Manager
2026-03-19
AR
2026-03-19
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ID: f1e2a6fa0f09
Senior People Team Manager (Engineering/Business Intelligence/Transformation) (Twin Falls, ID, US)
Chobani
·
Twin Falls, ID
Manager
2026-03-13
ID
2026-03-13
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ID: deb24761ab90
Software Development Manager, Open Data Analytics Engines
Amazon
·
Redmond, WA
Manager
2026-02-21
WA
2026-02-21
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ID: 5c3a2c6f1f03
Source: CareerOneStop (U.S. DOL)
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