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Business Intelligence Analysts

15-2051.01 Bright Outlook $158K
5
postings · Associate's
Career stage: All Intern (37) Entry-level (30) Mid-level (464) Senior (384) Manager (158) Director (57)
Education: All Associate's (5) Bachelor's (104) Master's (70) Doctorate (7)
What do these filters mean?
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 Engineer-II, UTR BI Team
Amazon · Bellevue, WA
Mid-level Associate's
2026-05-16
Requirements
  • 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 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
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
Responsibilities
  • Expertise in SQL for data modeling, and architecture design. Industry experience of 7+ is required.
  • Proficiency in Python for data wrangling, EDA, and model evaluation. Industry experience of 5+ years is preferred.
  • Industry experience in building and evaluating regression, forecasting, and classification models is highly preferred.
  • Perform advanced statistical analysis to uncover trends, patterns, and actionable insights from large datasets. Knowledge of clustering techniques is preferred.
  • Create compelling data visualizations and dashboards to communicate insights effectively. Knowledge of AWS products such as Redshift, QuickSight, or similar experience with other cloud tech stack.
  • Collaborate with product, engineering, and business teams to translate ambiguous problems into tech requirements and build data-driven solutions.
  • Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
View full posting on CareerOneStop → ID: d8580bb7471b
Program Controls Data Analysis, Reporting & AI Analyst
Oracle · Boise, ID
Mid-level Associate's
2026-05-14
Requirements
  • -5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
  • -Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
  • -Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
  • -Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
  • -Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
  • -Experience building recurring reports, dashboards, scorecards, or operational analytics products.
  • -Ability to communicate clearly with both technical and non-technical stakeholders.
  • -Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
  • -Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
  • -Willingness and ability to work extended hours when business-critical deadlines require it.
Preferred
  • -Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
  • -Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
  • -Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
  • -Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
  • -Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
  • -Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
  • -Experience preparing executive-level reporting materials or leadership-facing summaries.
  • *Key Competencies
  • -Proactive ownership and follow-through
  • -Strong analytical judgment
  • -Comfort with ambiguity and rapid change
  • -High attention to detail
  • -Advanced Excel and data handling capability
  • -Practical coding and automation mindset
  • -Strong stakeholder communication
  • -Ability to operate under pressure
  • -Curiosity about AI-enabled analytics and reporting
  • -Commitment to data quality and governance
  • *Working Environment
  • This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.
Responsibilities
  • We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
  • The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
  • This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
  • -Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
  • -Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
  • -Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
  • -Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
  • -Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
  • -Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
  • -Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
  • -Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
  • -Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
  • -Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
  • -Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
  • -Maintain strong attention to detail while balancing speed, urgency, and changing business needs.
View full posting on CareerOneStop → ID: a33b06918894
Program Controls Data Analysis, Reporting & AI Analyst
Oracle · Salem, OR
Mid-level Associate's
2026-05-14
Requirements
  • -5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
  • -Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
  • -Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
  • -Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
  • -Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
  • -Experience building recurring reports, dashboards, scorecards, or operational analytics products.
  • -Ability to communicate clearly with both technical and non-technical stakeholders.
  • -Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
  • -Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
  • -Willingness and ability to work extended hours when business-critical deadlines require it.
Preferred
  • -Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
  • -Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
  • -Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
  • -Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
  • -Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
  • -Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
  • -Experience preparing executive-level reporting materials or leadership-facing summaries.
  • *Key Competencies
  • -Proactive ownership and follow-through
  • -Strong analytical judgment
  • -Comfort with ambiguity and rapid change
  • -High attention to detail
  • -Advanced Excel and data handling capability
  • -Practical coding and automation mindset
  • -Strong stakeholder communication
  • -Ability to operate under pressure
  • -Curiosity about AI-enabled analytics and reporting
  • -Commitment to data quality and governance
  • *Working Environment
  • This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.
Responsibilities
  • We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
  • The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
  • This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
  • -Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
  • -Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
  • -Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
  • -Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
  • -Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
  • -Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
  • -Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
  • -Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
  • -Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
  • -Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
  • -Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
  • -Maintain strong attention to detail while balancing speed, urgency, and changing business needs.
View full posting on CareerOneStop → ID: d130f9504a6c
Program Controls Data Analysis, Reporting & AI Analyst
Oracle · Olympia, WA
Mid-level Associate's
2026-05-14
Requirements
  • -5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
  • -Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
  • -Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
  • -Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
  • -Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
  • -Experience building recurring reports, dashboards, scorecards, or operational analytics products.
  • -Ability to communicate clearly with both technical and non-technical stakeholders.
  • -Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
  • -Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
  • -Willingness and ability to work extended hours when business-critical deadlines require it.
Preferred
  • -Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
  • -Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
  • -Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
  • -Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
  • -Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
  • -Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
  • -Experience preparing executive-level reporting materials or leadership-facing summaries.
  • *Key Competencies
  • -Proactive ownership and follow-through
  • -Strong analytical judgment
  • -Comfort with ambiguity and rapid change
  • -High attention to detail
  • -Advanced Excel and data handling capability
  • -Practical coding and automation mindset
  • -Strong stakeholder communication
  • -Ability to operate under pressure
  • -Curiosity about AI-enabled analytics and reporting
  • -Commitment to data quality and governance
  • *Working Environment
  • This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.
Responsibilities
  • We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
  • The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
  • This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
  • -Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
  • -Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
  • -Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
  • -Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
  • -Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
  • -Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
  • -Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
  • -Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
  • -Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
  • -Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
  • -Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
  • -Maintain strong attention to detail while balancing speed, urgency, and changing business needs.
View full posting on CareerOneStop → ID: 3b808352eb51
Senior Business Intelligence Engineer
Humana · Olympia, WA
Senior Associate's
2026-05-12
Requirements
  • Minimum 5 years of experience using SQL to write complex queries against large data sets to derive insights and visualize the results with modern data visualization software such as Power BI
  • Experience designing, building, and maintaining technology solutions in low-code application technology like Microsoft Power Apps/Power Automate
  • Strong experience working within the healthcare secto
  • Proven ability to work with cross-functional teams to translate requirements between business users and technical development teams
  • Ability to gather, analyze, interpret, and present complex data and create accurate and meaningful information for data reporting and decision support to senior leadership
  • Experience consulting with users at all levels of familiarity with modern BI tools to design and implement the appropriate solution
  • Proficiency in verbal/written communication to senior and executive leadership
  • At minimum, a download speed of 25 mbps and an upload speed of 10 mbps is recommended; wireless, wired cable or DSL connection is suggested
  • Satellite, cellular and microwave connection can be used only if approved by leadership
  • Associates 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 associates 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
Preferred
  • Certification in Power BI, Power Platform, Power Apps
  • Experience using Python to create automated solutions
  • Experience using MS SQL Server, PL/SQL, Azure Synapse Analytics and/or Databricks
  • Experience with Power BI report builde
  • Experience analyzing medical claims and provider data, especially using Humana's internal data
  • Experience creating analytics solutions within the healthcare secto
  • *Additional Information
  • This role is not eligible for work visa sponsorship
  • As part of our hiring process for this opportunity, we may contact you via text message and email to gather more information using a software platform called HireVue. HireVue Text, Scheduling and Video technologies allow you to interact with us at the time and location most convenient for you.
  • If you are selected to move forward from your application prescreen, you may receive correspondence inviting you to participate in a pre-recorded Voice, Text Messaging and/or Video interview. Your recorded interview will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
  • Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
View full posting on CareerOneStop → ID: 7e5d15828813
Source: CareerOneStop (U.S. DOL) · Search more jobs