Jobs — Business Intelligence Analysts

Medicaid Business Intelligence Engineer

Humana · Olympia, WA

Mid-level Master's

2026-06-04

WA 2026-06-04

Requirements

2+ years of experience in Python or Pyspark
2+ years of experience in Jupyter Notebook environment
2+ years of experience in Databricks Platform
2+ years of experience in Microsoft PowerBI or other data visualization software
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care
Experience in Medicaid
Experience in risk adjustment
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
*Additional Information

View full posting on CareerOneStop → ID: e7d3e7988b3e

Medicaid Business Intelligence Engineer

Humana · Boise, ID

Mid-level Master's

2026-06-04

ID 2026-06-04

Requirements

2+ years of experience in Python or Pyspark
2+ years of experience in Jupyter Notebook environment
2+ years of experience in Databricks Platform
2+ years of experience in Microsoft PowerBI or other data visualization software
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care
Experience in Medicaid
Experience in risk adjustment
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
*Additional Information

View full posting on CareerOneStop → ID: 66930b4edbcd

Medicaid Business Intelligence Engineer

Humana · Salem, OR

Mid-level Master's

2026-06-04

OR 2026-06-04

Requirements

2+ years of experience in Python or Pyspark
2+ years of experience in Jupyter Notebook environment
2+ years of experience in Databricks Platform
2+ years of experience in Microsoft PowerBI or other data visualization software
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care
Experience in Medicaid
Experience in risk adjustment
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
*Additional Information

View full posting on CareerOneStop → ID: 1761385017eb

Medicaid Business Intelligence Engineer

Humana · Helena, MT

Mid-level Master's

2026-06-04

MT 2026-06-04

Requirements

2+ years of experience in Python or Pyspark
2+ years of experience in Jupyter Notebook environment
2+ years of experience in Databricks Platform
2+ years of experience in Microsoft PowerBI or other data visualization software
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care
Experience in Medicaid
Experience in risk adjustment
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
*Additional Information

View full posting on CareerOneStop → ID: 90159409d9b3

Total Rewards Data Analyst

Micron Technology, Inc. · Boise, ID

Mid-level Master's

2026-06-02

ID 2026-06-02

Our vision is to transform how the world uses information to enrich life for _all_ . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and adva

View full posting on CareerOneStop → ID: 4874a884e2ec

Business Intelligence Engineer II, Amazon Freight

Amazon · Bellevue, WA

Mid-level Master's

2026-06-02

WA 2026-06-02

Requirements

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in Statistical Analysis packages such as R, SAS and Matlab

Preferred

Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
1+ years of managing, analyzing and communicating results to senior leadership experience

Responsibilities

Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance
Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements
Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models
Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

View full posting on CareerOneStop → ID: 1bf8e9685e65

Data Analyst (Consulting)

SolomonEdwards · Olympia, WA

Mid-level Master's

2026-06-02

WA 2026-06-02

Requirements

· High School Diploma or equivalent required.
· Bachelor's degree preferred.
· Master of Library and Information Science (MLIS) strongly preferred.
· Experience working with large datasets across multiple applications.
· Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
· Experience with asset inventory management and recordkeeping.
· Experience with reporting, dashboarding, and data visualization tools.
· Strong project management and organizational skills.
· Experience supporting content strategy and planning initiatives.
· Media, entertainment, or archive management experience preferred.
*Skills and Job-Specific Competencies:
· Experience with Digital Asset Management (DAM) platforms.
· Knowledge of metadata management and taxonomy standards.
· Proficiency in Tableau for data visualization and reporting.
· Working knowledge of XML.
· Advanced proficiency with Adobe Acrobat Pro.
· Experience with FileMaker databases.
· Proficiency in Microsoft Access.
· Advanced Microsoft Excel skills, including reporting and data analysis.
· Experience working with Content Management Systems (CMS).
· Professional Competencies.
· Strong analytical, critical thinking, and problem-solving abilities.
· Exceptional attention to detail and commitment to accuracy.
· Excellent written and verbal communication skills.
· Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
· Sound judgment with the ability to make independent decisions.
· Strong collaboration and stakeholder relationship management skills.
· Ability to maintain confidentiality and handle sensitive information with discretion.
· Self-motivated with the ability to work independently and as part of a team.
*Travel Requirements: No travel will be required, unless at the client's discretion.

Responsibilities

We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
· Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
· Perform data mining, validation, and quality control across multiple systems.
· Manage metadata, inventory records, and digital asset information.
· Develop and maintain dashboards, reports, and data visualizations.
· Generate regular and ad hoc reporting to support business decisions.
· Coordinate with internal teams and client stakeholders to meet project milestones.
· Troubleshoot data, content, and system issues and escalate when necessary.

View full posting on CareerOneStop → ID: 4e203335dae2

Data Analyst (Consulting)

SolomonEdwards · Boise, ID

Mid-level Master's

2026-06-02

ID 2026-06-02

Requirements

· High School Diploma or equivalent required.
· Bachelor's degree preferred.
· Master of Library and Information Science (MLIS) strongly preferred.
· Experience working with large datasets across multiple applications.
· Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
· Experience with asset inventory management and recordkeeping.
· Experience with reporting, dashboarding, and data visualization tools.
· Strong project management and organizational skills.
· Experience supporting content strategy and planning initiatives.
· Media, entertainment, or archive management experience preferred.
*Skills and Job-Specific Competencies:
· Experience with Digital Asset Management (DAM) platforms.
· Knowledge of metadata management and taxonomy standards.
· Proficiency in Tableau for data visualization and reporting.
· Working knowledge of XML.
· Advanced proficiency with Adobe Acrobat Pro.
· Experience with FileMaker databases.
· Proficiency in Microsoft Access.
· Advanced Microsoft Excel skills, including reporting and data analysis.
· Experience working with Content Management Systems (CMS).
· Professional Competencies.
· Strong analytical, critical thinking, and problem-solving abilities.
· Exceptional attention to detail and commitment to accuracy.
· Excellent written and verbal communication skills.
· Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
· Sound judgment with the ability to make independent decisions.
· Strong collaboration and stakeholder relationship management skills.
· Ability to maintain confidentiality and handle sensitive information with discretion.
· Self-motivated with the ability to work independently and as part of a team.
*Travel Requirements: No travel will be required, unless at the client's discretion.

Responsibilities

We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
· Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
· Perform data mining, validation, and quality control across multiple systems.
· Manage metadata, inventory records, and digital asset information.
· Develop and maintain dashboards, reports, and data visualizations.
· Generate regular and ad hoc reporting to support business decisions.
· Coordinate with internal teams and client stakeholders to meet project milestones.
· Troubleshoot data, content, and system issues and escalate when necessary.

View full posting on CareerOneStop → ID: cb56e9b38b82

Data Analyst (Consulting)

SolomonEdwards · Salem, OR

Mid-level Master's

2026-06-02

OR 2026-06-02

Requirements

· High School Diploma or equivalent required.
· Bachelor's degree preferred.
· Master of Library and Information Science (MLIS) strongly preferred.
· Experience working with large datasets across multiple applications.
· Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
· Experience with asset inventory management and recordkeeping.
· Experience with reporting, dashboarding, and data visualization tools.
· Strong project management and organizational skills.
· Experience supporting content strategy and planning initiatives.
· Media, entertainment, or archive management experience preferred.
*Skills and Job-Specific Competencies:
· Experience with Digital Asset Management (DAM) platforms.
· Knowledge of metadata management and taxonomy standards.
· Proficiency in Tableau for data visualization and reporting.
· Working knowledge of XML.
· Advanced proficiency with Adobe Acrobat Pro.
· Experience with FileMaker databases.
· Proficiency in Microsoft Access.
· Advanced Microsoft Excel skills, including reporting and data analysis.
· Experience working with Content Management Systems (CMS).
· Professional Competencies.
· Strong analytical, critical thinking, and problem-solving abilities.
· Exceptional attention to detail and commitment to accuracy.
· Excellent written and verbal communication skills.
· Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
· Sound judgment with the ability to make independent decisions.
· Strong collaboration and stakeholder relationship management skills.
· Ability to maintain confidentiality and handle sensitive information with discretion.
· Self-motivated with the ability to work independently and as part of a team.
*Travel Requirements: No travel will be required, unless at the client's discretion.

Responsibilities

We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
· Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
· Perform data mining, validation, and quality control across multiple systems.
· Manage metadata, inventory records, and digital asset information.
· Develop and maintain dashboards, reports, and data visualizations.
· Generate regular and ad hoc reporting to support business decisions.
· Coordinate with internal teams and client stakeholders to meet project milestones.
· Troubleshoot data, content, and system issues and escalate when necessary.

View full posting on CareerOneStop → ID: a077bd9739ea

Data Analyst (Consulting)

SolomonEdwards · Helena, MT

Mid-level Master's

2026-06-02

MT 2026-06-02

Requirements

· High School Diploma or equivalent required.
· Bachelor's degree preferred.
· Master of Library and Information Science (MLIS) strongly preferred.
· Experience working with large datasets across multiple applications.
· Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
· Experience with asset inventory management and recordkeeping.
· Experience with reporting, dashboarding, and data visualization tools.
· Strong project management and organizational skills.
· Experience supporting content strategy and planning initiatives.
· Media, entertainment, or archive management experience preferred.
*Skills and Job-Specific Competencies:
· Experience with Digital Asset Management (DAM) platforms.
· Knowledge of metadata management and taxonomy standards.
· Proficiency in Tableau for data visualization and reporting.
· Working knowledge of XML.
· Advanced proficiency with Adobe Acrobat Pro.
· Experience with FileMaker databases.
· Proficiency in Microsoft Access.
· Advanced Microsoft Excel skills, including reporting and data analysis.
· Experience working with Content Management Systems (CMS).
· Professional Competencies.
· Strong analytical, critical thinking, and problem-solving abilities.
· Exceptional attention to detail and commitment to accuracy.
· Excellent written and verbal communication skills.
· Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
· Sound judgment with the ability to make independent decisions.
· Strong collaboration and stakeholder relationship management skills.
· Ability to maintain confidentiality and handle sensitive information with discretion.
· Self-motivated with the ability to work independently and as part of a team.
*Travel Requirements: No travel will be required, unless at the client's discretion.

Responsibilities

We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
· Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
· Perform data mining, validation, and quality control across multiple systems.
· Manage metadata, inventory records, and digital asset information.
· Develop and maintain dashboards, reports, and data visualizations.
· Generate regular and ad hoc reporting to support business decisions.
· Coordinate with internal teams and client stakeholders to meet project milestones.
· Troubleshoot data, content, and system issues and escalate when necessary.

View full posting on CareerOneStop → ID: ebcc60716aa1

Medicaid Business Intelligence Engineer

Humana · Boise, ID

Mid-level Master's

2026-05-29

ID 2026-05-29

Requirements

2+ years of experience in Python and Pandas Python library.
2+ years of experience in Jupyter Notebook environment.
2+ years of experience in Databricks Platform.
2+ years of experience in Microsoft PowerBI or other data visualization software.
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes.
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care.
Experience in Medicaid.
Experience in risk adjustment.
Experience with data mining and predictive modeling techniques.
Ability to use data to drive business outcomes and decisions.
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

View full posting on CareerOneStop → ID: 90e3b0972ce6

Business Intel Engineer II - AMZ27162.1

Amazon · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

Preferred

All applicants must meet all the above listed requirements.

View full posting on CareerOneStop → ID: 9cc8cf91d89e

Medicaid Business Intelligence Engineer

Humana · Olympia, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

2+ years of experience in Python and Pandas Python library.
2+ years of experience in Jupyter Notebook environment.
2+ years of experience in Databricks Platform.
2+ years of experience in Microsoft PowerBI or other data visualization software.
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes.
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care.
Experience in Medicaid.
Experience in risk adjustment.
Experience with data mining and predictive modeling techniques.
Ability to use data to drive business outcomes and decisions.
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

View full posting on CareerOneStop → ID: badcf1f31939

Medicaid Business Intelligence Engineer

Humana · Salem, OR

Mid-level Master's

2026-05-29

OR 2026-05-29

Requirements

2+ years of experience in Python and Pandas Python library.
2+ years of experience in Jupyter Notebook environment.
2+ years of experience in Databricks Platform.
2+ years of experience in Microsoft PowerBI or other data visualization software.
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes.
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care.
Experience in Medicaid.
Experience in risk adjustment.
Experience with data mining and predictive modeling techniques.
Ability to use data to drive business outcomes and decisions.
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

View full posting on CareerOneStop → ID: b9c9c9702a10

Medicaid Business Intelligence Engineer

Humana · Helena, MT

Mid-level Master's

2026-05-29

MT 2026-05-29

Requirements

2+ years of experience in Python and Pandas Python library.
2+ years of experience in Jupyter Notebook environment.
2+ years of experience in Databricks Platform.
2+ years of experience in Microsoft PowerBI or other data visualization software.
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes.
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care.
Experience in Medicaid.
Experience in risk adjustment.
Experience with data mining and predictive modeling techniques.
Ability to use data to drive business outcomes and decisions.
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

View full posting on CareerOneStop → ID: 2cb643fed1be

Anti-Fraud Risk Data Analyst (Multiple Positions)

TT Commerce & Global Services LLC · Bellevue, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Must have a Master's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 3 years of related work experience.
Of the required experience, must have 1 year of experience in each of the following:
Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing;
Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL;
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and
Building, tuning, and validating statistical models for regression and classification problems in Python or R.
Travel Requirement: Domestic and international travel required up to 10%.
Type: Full time, 40 hours/week
Location: Bellevue, WA

Responsibilities

Monitor, audit, and analyze potential fraudulent cases and consolidate anti-fraud rules.
Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management.
Understand the trends and intelligence of fraudulent activities in each local market and build intelligence monitoring systems to mitigate fraud.
Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences.
Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.

View full posting on CareerOneStop → ID: 831bd1f828b0

Business Intel Engineer II - AMZ27162.1

Amazon Data Services, Inc. · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

View full posting on CareerOneStop → ID: dcbb428d7427

Business Intel Engineer II - AMZ27162.1

Amazon Data Services, Inc. · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

View full posting on CareerOneStop → ID: d1350248557a

Business Intel Engineer II - AMZ27162.1

Amazon Data Services, Inc. · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

View full posting on CareerOneStop → ID: efc4c5bdf44f

Business Intelligence Engineer, WWGS Retail BI

Amazon · Seattle, WA

Mid-level Master's

2026-05-28

WA 2026-05-28

Requirements

Strong SQL and data modeling skills, experience with BI visualization tools (Tableau/QuickSight), ability to translate ambiguous business requirements into technical solutions, and excellent communication skills for both technical and non-technical audiences. You'll work independently with limited guidance while knowing when to collaborate and seek direction.
Ready to shape the future of grocery analytics? This role offers the unique opportunity to combine traditional BI excellence with emerging AI capabilities, positioning you at the forefront of how data teams serve business stakeholders.
Bachelor's degree in sciences, engineering, finance or equivalent
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Knowledge of SQL and data warehousing concepts
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Preferred

Master's degree in sciences, engineering, finance or equivalent
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
5+ years of retail, grocery, or customer-facing, or 2+ years of retail or operations experience

Responsibilities

Build scalable analytics infrastructure: Design and implement automated ETL pipelines, data models, and reporting solutions using AWS technologies (Redshift, Athena, QuickSight, S3) that transform raw data into actionable insights for marketing and customer lifecycle teams
Drive marketing measurement excellence: Own end-to-end attribution analysis, customer funnel instrumentation, and lifecycle segmentation frameworks that enable data-driven investment decisions across multi-million dollar marketing budgets
Develop AI-powered analytics solutions: Create conversational AI agents and automated insight generation tools that enable business stakeholders to self-serve complex analyses, reducing time-to-insight from days to minutes
Partner cross-functionally: Collaborate with Marketing, Product, Tech, and Data teams to translate ambiguous business requirements into technical solutions, establish unified measurement standards, and drive alignment on strategic initiatives
Deliver actionable insights: Conduct deep-dive analyses on customer behavior, campaign performance, and funnel optimization opportunities that directly inform business strategy and tactical execution
Ensure data quality and reliability: Implement monitoring, validation, and documentation practices that maintain trust in analytics outputs and enable confident decision-making
Mentor and influence: Share best practices, contribute to team technical standards, and elevate the analytical capabilities of both technical and non-technical stakeholders
You'll start most days reviewing overnight metrics-did marketing campaigns perform as expected? Any funnel drop-offs requiring investigation? You'll partner closely with Marketing PMs and Online Growth teams to translate their questions into analyses, often jumping into SQL to pull data or building QuickSight dashboards for self-service access.
Mid-morning might involve a working session with Tech teams to instrument new customer touchpoints or debug attribution gaps. Afternoons could mean presenting findings to leadership, prototyping an AI agent that answers common stakeholder questions, or collaborating with Data Engineering on pipeline improvements.
You'll balance planned projects (building attribution frameworks, lifecycle segmentation models) with urgent requests (explaining yesterday's order spike, validating experiment results). Some days you're deep in code; others you're whiteboarding measurement strategies with cross-functional partners. The variety keeps it interesting-you're never just pulling reports; you're solving puzzles that directly impact how Amazon invests millions in customer acquisition.

View full posting on CareerOneStop → ID: 93b9b29c1b38

Business Intelligence Report Developer

Humana · Olympia, WA

Mid-level Master's

2026-05-27

WA 2026-05-27

Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro

View full posting on CareerOneStop → ID: f28e3deee4aa

Business Intelligence Report Developer

Humana · Boise, ID

Mid-level Master's

2026-05-27

ID 2026-05-27

Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro

View full posting on CareerOneStop → ID: f463066e6700

Business Intelligence Report Developer

Humana · Salem, OR

Mid-level Master's

2026-05-27

OR 2026-05-27

Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro

View full posting on CareerOneStop → ID: c138cd0b4db2

Business Intelligence Report Developer

Humana · Helena, MT

Mid-level Master's

2026-05-27

MT 2026-05-27

Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro

View full posting on CareerOneStop → ID: 11b7695a7d08

Business Intelligence Engineer, Amazon Kids+

Amazon · Seattle, WA

Mid-level Master's

2026-05-19

WA 2026-05-19

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling

Preferred

Master's degree, or Advanced technical degree
Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting

Responsibilities

Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting around key subscription metrics including acquisition, retention, and engagement
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle

View full posting on CareerOneStop → ID: 3ec34eb78602

Business Intelligence Engineer, Amazon Kids+

Amazon · Seattle, WA

Mid-level Master's

2026-05-19

WA 2026-05-19

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling

Preferred

Master's degree, or Advanced technical degree
Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting

Responsibilities

Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
Develop queries and visualizations for standardized reporting around key subscription metrics including acquisition, retention, and engagement
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle

View full posting on CareerOneStop → ID: 20176cb41d6e

Data Analyst, Data & Analytics - Med USMPD

Cardinal Health · Boise, ID

Mid-level Master's

2026-05-16

ID 2026-05-16

Requirements

Bachelors' Degree in related field, or equivalent work experience
5+ years of experience in Data Analytics field preferred
Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
Experience with relational databases (Oracle, SQL Server preferred)
Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
Ability to identify and troubleshoot critical issues
Strong presentation skills preferred
Develops clear and well-structured analytical plans and analyzes large datasets
Helps business by interpreting data to assess and compare performance
Experience with business-critical applications
Experience translating vague requests into concrete deliverables
Experience with migrating legacy systems to modern cloud-based analytical solutions
Ability to adapt to fast changing environments
Experience with complex data environments and leveraging disparate data sources, including 3rd party data

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

AWS/Google Cloud platform experience
Agile implementation experience
Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
Experience working with SAP systems
Experience with Python and/or R
Understanding of Project management lifecycle
*What is expected of you and others at this level
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues

View full posting on CareerOneStop → ID: f6339e98da05

Data Analyst, Data & Analytics - Med USMPD

Cardinal Health · Salem, OR

Mid-level Master's

2026-05-16

OR 2026-05-16

Requirements

Bachelors' Degree in related field, or equivalent work experience
5+ years of experience in Data Analytics field preferred
Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
Experience with relational databases (Oracle, SQL Server preferred)
Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
Ability to identify and troubleshoot critical issues
Strong presentation skills preferred
Develops clear and well-structured analytical plans and analyzes large datasets
Helps business by interpreting data to assess and compare performance
Experience with business-critical applications
Experience translating vague requests into concrete deliverables
Experience with migrating legacy systems to modern cloud-based analytical solutions
Ability to adapt to fast changing environments
Experience with complex data environments and leveraging disparate data sources, including 3rd party data

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

AWS/Google Cloud platform experience
Agile implementation experience
Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
Experience working with SAP systems
Experience with Python and/or R
Understanding of Project management lifecycle
*What is expected of you and others at this level
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues

View full posting on CareerOneStop → ID: b573f361cfec

Business Data Analyst

Milliman, Inc · Seattle, WA

Mid-level Master's

2026-05-16

WA 2026-05-16

Requirements

Bachelor's degree in Business, Economics, Statistics, Data Science, or a related field. A Master's degree is a plus.
2+ years of relevant experience
Proven experience as a Business Data Analyst or similar role.
Proficiency in data analysis tools and software, specifically Excel. SQL experience a plus.
Experience with data visualization tools, such as PowerBI, Tableau, or similar. Knowledge of Canva is a plus for creating engaging infographics.
Demonstrated ability to work in a fast-paced, dynamic environment and meet deadlines effectively.
Excellent problem-solving skills and attention to detail, accurately and thoroughly accomplishing assignments.
Effectively manages time with the ability to manage multiple projects simultaneously.
Demonstrates respectful interactions with colleagues at all levels in MedInsight.
Ability to maintain confidentiality of data and information.
*What makes this a great opportunity?
Join an innovat

Responsibilities

The Business Data Analyst will be responsible for analyzing and interpreting complex data sets to provide actionable insights that drive business management and improvement strategies. This role requires a strong analytical mindset, proficiency in statistical methods, and an ability to develop an understanding of business objectives to effectively translate data into findings. The ideal candidate will have experience with data visualization tools, a strong interest in learning and applying new skills to advance business data analysis, and a passion for turning data into meaningful business outcomes. This role will report to the Director of Operations Strategy on the Business team.
Collaborate with cross-functional teams to understand business needs and translate them into data reporting requirements.
Document data sources, data definitions, methodologies, and processes to ensure data integrity and facilitate knowledge sharing within the team.
Collect, clean, and analyze data from various sources to identify trends, patterns, and insights.
Develop and maintain dashboards, reports, and visualizations using tools such as PowerBI, Excel, or Canva.
Conduct data analyses and modeling to support business objectives and decision-making processes.
Ensure compliance with data governance standards and privacy regulations.
Prepare data visualizations and present findings through clear and concise reports, presentations, and infographics.
Perform regular data audits to ensure accuracy, consistency, and completeness of data, and work with cross-functional teams to address any discrepancies and resolve data issues identified.
Continuous learning to stay current with best practices, skills, and AI in data analysis and business intelligence.

View full posting on CareerOneStop → ID: 5f8231cd9aef

Data Analyst, Data & Analytics - Med USMPD

Cardinal Health · Olympia, WA

Mid-level Master's

2026-05-16

WA 2026-05-16

Requirements

Bachelors' Degree in related field, or equivalent work experience
5+ years of experience in Data Analytics field preferred
Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
Experience with relational databases (Oracle, SQL Server preferred)
Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
Ability to identify and troubleshoot critical issues
Strong presentation skills preferred
Develops clear and well-structured analytical plans and analyzes large datasets
Helps business by interpreting data to assess and compare performance
Experience with business-critical applications
Experience translating vague requests into concrete deliverables
Experience with migrating legacy systems to modern cloud-based analytical solutions
Ability to adapt to fast changing environments
Experience with complex data environments and leveraging disparate data sources, including 3rd party data

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

AWS/Google Cloud platform experience
Agile implementation experience
Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
Experience working with SAP systems
Experience with Python and/or R
Understanding of Project management lifecycle
*What is expected of you and others at this level
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues

View full posting on CareerOneStop → ID: 58e02476252e

Data Analyst - Housing Programs

DESC · Seattle, WA

Mid-level Master's

2026-05-09

WA 2026-05-09

Requirements

Associate's degree, or 2 years of highly relevant paid work experience and formal training in data analytics to demonstrate an ability to successfully perform the job.
Strong computer skills, including using word processors, analyzing Excel spreadsheets, and writing SQL queries.
Strong oral and written communication skills and ability to work effectively with staff from various backgrounds and disciplines.
Ability to organize and coordinate work efficiently; prioritize workload, work under pressure with tight timelines and changing priorities.
Ability to work independently with a minimum of supervision, and act on own initiative, within agency procedural guidelines.
Initiative and creativity in problem solving and system development.
Willingness to be flexible and work cooperatively with co-workers to accomplish all responsibilities of the team.
Subscribe to philosophy of cooperation and continuity across programs, and of consideration and respect for clients.
Appropriate safeguarding and handling of confidential and proprietary information.

Preferred

Bachelor's degree in computer science, engineering, related field or equivalent experience: advanced degree a plus.
4 years' highly relevant paid work experience.
Knowledge of affordable housing and homelessness sectors.
Knowledge of health equity and organizational change principles.
Experience working in administration/coordination in a human services or affordable housing setting.
Experience working with individuals who are homeless, mentally ill, and/or use substances.
Demonstrated ability to use scripting or programming languages to perform tasks.
Data analysis experience with R/Python
Experience with Apache or other HTTP servers, GitHub, and Linux.

Responsibilities

Identify, coordinate, and communicate processes to create efficiencies and improve program performance.
Monitor and administer DESC's housing data collection and reporting through King County's HMIS system.
Creating interactive dashboard visualizations, to help track key indicators of outcome and success in programs and settings.
Adherence to the HIM compliance and housing documentation improvement program, including training housing staff on documentation standards.
Serves as a subject matter expert for managers on documentation & data reporting standards that comply with regulatory requirements.
Assist various housing programs with data analysis and reporting requirements.
Use data sources to perform validation and quality control checks to track performance and compliance in identified areas.
Perform analysis on quality, cost and achievement metrics to evaluate programs, using visualization techniques to communicate insights and recommendations.
Support ongoing contract requirements with independent data analysis and written reports.
Collaborate with the Quality and Information Management Departments and other DESC partners to scope, design, and validate additional reporting and design features.
Enhance existing reports and reporting processes to create efficiencies and added value throughout DESC.
Assist in various quality assurance activities, including but not limited to quarterly internal audits.
Document project details and maintain report specifications that clearly describe how implemented features work and work with end-users to ensure usage and usability.
Other duties as assigned.

View full posting on CareerOneStop → ID: b43005b93180

Global Product Scheduling Integration Data Analyst

Google · Seattle, WA

Mid-level Master's

2026-05-08

WA 2026-05-08

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in program or project management.
5 years of experience in managing full life cycle data center construction planning.
5 years of experience in primavera P6 enterprise project portfolio management.
5 years of experience in data analysis.

Preferred

Master's degree or MBA.
7 years of experience in managing full life cycle data center construction planning.
7 years of experience in primavera P6 enterprise project portfolio management.
7 years of experience in data analysis.

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 Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
In this role, you will own the integrity and strategic planning of our entire product portfolio. You will operate at the intersection of program management, engineering strategy, and advanced analytics. You will orchestrate the planning architecture for our most complex product configurations, partnering with the executive team leads to drive logic based design schedules. Simultaneously, you will serve as the portfolio's data analyst, using advanced milestone-to-milestone forensics to generate predictive insights. You will carry the mandate to enforce schedule governance, possessing the authority to reject green-shifted plans and ensure that organizational decisions are based on mathematical reality, not optimism.
The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Lead the end-to-end schedule strategy for New Product Introduction (NPI) and refinements. Define the logic strategy that integrates design and engineering across multi-variant product configurations.
Partner with executive team leads and engineering groups to translate high-level product roadmaps into executable, resource loaded schedules.
Establish the standard for how product variants are modeled in the schedule. Ensure that dependencies between common core components and unique configuration elements are mathematically sound.
Conduct analysis into the velocity between critical milestones. Identify systemic drag factors that are invisible at the surface level and quantify their impact on the bottom line.
Transform raw schedule data into high-level strategic narratives. Present these insights directly to leadership, highlighting risks that require immediate executive intervention.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 93d5e0e2fad1

Business Intelligence Engineer, AMXL (Amazon Extra Large) Inbound Analytics

Amazon · Bellevue, WA

Mid-level Master's

2026-05-07

WA 2026-05-07

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)

Preferred

Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis

Responsibilities

Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).
Analyze and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
Serve as liaison between operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
Maintain and develop data pipeline for NA region
Automate and improve existing manual processes
Create tools to help deep diving and investigations into operations execution and business problems
Analyze and visualize large scale logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
Standardize processes and bring parity across regions and business teams.
As a Busines Intelligence Engineer, you are responsible for identifying key metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement. You will be detail oriented, and demonstrate expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. You will blend advanced reporting with strong critical thinking and project management skills. In addition to the key responsibilities you will:
Partner with Data Engineering and Software Development Engineers to prioritize and define AMXL data and BI development needs.
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects.
Serve as liaison between North America and Europe teams to ensure seamless communication and collaboration as well as standardizing processes across the globe to drive efficiency and effectiveness.
Implement end to end reporting for the worldwide operational teams to highlight improvement opportunities.

View full posting on CareerOneStop → ID: 14cd3b005154

Data Analyst II - Inventory & SEO Growth

Rock Family of Companies · Seattle, WA

Mid-level Master's

2026-05-02

WA 2026-05-02

Responsibilities

Serve as a subject matter expert on Redfin's listings data.
Leverage analytical expertise to deliver simple answers to complex, ambiguous questions.
Build and maintain Tableau dashboards supporting the Growth analytics reporting portfolio.
Define success metrics and perform rigorous analyses for experiments.
Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.

View full posting on CareerOneStop → ID: 477139ec7801

Data Analyst II - User Engagement & Conversion

Rock Family of Companies · Seattle, WA

Mid-level Master's

2026-05-02

WA 2026-05-02

Responsibilities

Serve as a subject matter expert on homeowner audiences and Redfin Estimate product performance and user engagement.
Leverage analytical expertise to deliver simple answers to complex, ambiguous questions.
Build and maintain Tableau dashboards supporting the Growth analytics reporting portfolio.
Define success metrics and perform rigorous analyses for experiments.
Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.

View full posting on CareerOneStop → ID: 9c225949b81c

Business Intelligence Engineer III

Ampcus, Inc · Seattle, WA

Mid-level Master's

2026-05-02

WA 2026-05-02

Requirements

7 years of experience working with large-scale complex datasets
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
Strong working knowledge of SQL
Background (academic or professional) in statistics, programming, and marketing
SAS experience a plus
Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
Excellent communication skills, equally adept at working with engineers as well as business leaders

Responsibilities

Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
Statistical testing of A/B and multivariate experiments
Design, build and maintain metrics and reports on program health
Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
Participate in strategic and tactical planning discussions

View full posting on CareerOneStop → ID: cb736e41cd02

Business Intelligence Engineer V

Ampcus, Inc · Seattle, WA

Mid-level Master's

2026-05-02

WA 2026-05-02

Requirements

6 years of experience working with large-scale complex datasets.
Experience working with executive stakeholders in ecommerce or retail companies.
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions.
Strong working knowledge of SQL.
Background (academic or professional) in statistics, programming, and marketing.
SAS experience a plus.
Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
Excellent communication skills, equally adept at working with engineers as well as business leaders.

Responsibilities

Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention.
Design, build and maintain metrics and reports on program health.
Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis.
Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base.
Participate in strategic and tactical planning discussions.

View full posting on CareerOneStop → ID: aff2506330aa

Business Intelligence Analyst

WPS Online, LLC · Bothell, WA

Mid-level Master's

2026-04-30

WA 2026-04-30

Requirements

Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.

Responsibilities

Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
Providing technical support for existing reports, dashboards, or other tools.
Providing reports through office applications to improve business processes.
Analyzing competitive market strategies through analysis of related products and markets.
Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
Managing timely flow of business intelligence information to users.
Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.

View full posting on CareerOneStop → ID: 494331878669

Business Intelligence Analyst

WPS Online, LLC · Bothell, WA

Mid-level Master's

2026-04-30

WA 2026-04-30

Requirements

Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.

Responsibilities

Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
Providing technical support for existing reports, dashboards, or other tools.
Providing reports through office applications to improve business processes.
Analyzing competitive market strategies through analysis of related products and markets.
Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
Managing timely flow of business intelligence information to users.
Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.

View full posting on CareerOneStop → ID: c9796bdbf9c0

Business Intelligence Analyst

WPS Online, LLC · Bothell, WA

Mid-level Master's

2026-04-30

WA 2026-04-30

Requirements

Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.

Responsibilities

Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
Providing technical support for existing reports, dashboards, or other tools.
Providing reports through office applications to improve business processes.
Analyzing competitive market strategies through analysis of related products and markets.
Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
Managing timely flow of business intelligence information to users.
Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.

View full posting on CareerOneStop → ID: 673739589259

Healthcare Data Analyst

COMAGINE HEALTH · Seattle, WA

Mid-level Master's

2026-04-30

WA 2026-04-30

Requirements

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Education

Bachelor's degree (BA/BS) in a relevant field
Master's degree (MA/MS) preferred

View full posting on CareerOneStop → ID: 02d1175bb024

Business Intelligence Engineer, ASP BI

Amazon · Seattle, WA

Mid-level Master's

2026-04-29

WA 2026-04-29

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Familiarity with Agentic AI concepts, LLMs, or Generative AI tooling in a BI context

Preferred

Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis
Experience working in a Sales Operations analytics environment

Responsibilities

Explore and learn the latest AWS technologies and contribute to the team's Agentic reporting development initiatives.
Implement data pipelines from disparate sources to ingest, transform, and store data in a scalable format that other BI builders can leverage for similar metrics.
Gather and understand data requirements by working with cross-functional teams to achieve high-quality and scalable data solutions for our products and mechanisms.
Dive deep into requirements to unearth optimal reporting design (e.g., key dimensions, broadest reporting audience, scalability) with Operations leads and drive constructive technical discussions.
Build end-to-end BI solutions, from data sourcing through visualization and enablement.
Determine data lineage to understand the chain of custody and transformation of data, and build enablement material that scales the impact of your solutions.
Create interactive data visuals with QuickSight, and other AWS-native visualization tools.
Contribute to the curation and maintenance of centralized knowledge repositories and sources of truth for Partner metrics.
Support Executive Reporting (Organizational Level 1-4) including in-depth analyses and standardized reporting sources for ASP LT, SMGS LT, and S-Team reporting.
Participate in causation/correlation research ("finding the Why") to provide proactive insight into trends, churn drivers, and actionable levers.
You will build scalable reporting artifacts used across the ASP Partner Organization, partnering with Line of Business BI Teams to tell the Partner ecosystem story. You will create trusted data artifacts and Agentic flows, act as an SME on top-line metric drivers, and communicate actionable insights to both technical and non-technical stakeholders. You will contribute to Agentic reporting development, knowledge curation, and causation research - building reporting that is transparent, precise, and tailored for the personas who consume it.

View full posting on CareerOneStop → ID: c39b5d5806ac

Market Research/Data Analyst

Eliassen Group · Olympia, WA

Mid-level Master's

2026-04-21

WA 2026-04-21

Requirements

2 to 5 years of experience in an applied research setting.
Proficiency with PowerPoint, SPSS or DisplayR, and Qualtrics.
Experience synthesizing data into actionable insights for communications or business decision-making.
Background in consumer and social research methodologies.
Ability to operate effectively in a preferred hybrid setting in Washington, DC, or fully remote.
Capability to provide a writing sample that demonstrates research communication.

Education

Bachelor's degree required in Social Science, Marketing Research, or a related field.
Master's degree preferred in Social Science, Marketing Research, or a related field.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Develop and write small-scale surveys, screeners, and interview guides.
Manage vendor deliverables by maintaining research files, performing quality checks, and tracking timelines.
Conduct statistical analyses using SPSS and other analytic packages.
Create reports and presentations, including charts and tables, using Excel and PowerPoint.
Verify accuracy of data and assure the quality of research reports through cross-referencing.
Compile, synthesize, and analyze secondary research from syndicated sources for internal sharing.
Collaborate across the research team on ad hoc data requests and support fast-moving projects.

View full posting on CareerOneStop → ID: b2a060b7a207