Business Intelligence Lead Jobs in Bellevue, WA
Business Intelligence Lead jobs in Bellevue, Washington concentrate in the Bellevue Downtown district, Overlake, and the Spring District, where demand across cloud technology, e-commerce, and enterprise software remains consistently strong. Employers hiring right now include Amazon, AAA Washington, and SID Global Solutions. See the openings below and apply to the ones that match your experience.
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Showing 5 of 51+ Business Intelligence Lead jobs
DESCRIPTION
automated, self-service analytics that directly impact associate safety, training compliance, and operational efficiency.
Key job responsibilities
- Dashboard Development & Maintenance — Design, build, and maintain QuickSight dashboards across workforce domains including training compliance, onboarding health, labor sharing/cross-training, associate performance, and leader learning
- Data Pipeline Engineering — Build and optimize Airflow DAGs that refresh dashboards on intraday schedules (up to 4x/day), ensuring data freshness and reliability for operational decision-making
- Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms (LSXT UTR), labor allocation optimization, and dynamic headcount targeting models that feed directly into operational tools
- Metric Onboarding — Onboard and maintain metrics in platforms like Perfect Mile for SSD buildings
- Data Quality & Monitoring — Own pipeline health monitoring, alerting, and incident response for Sev 3 production dashboards
- Stakeholder Partnership — Work directly with LPE program teams to translate business requirements into scalable analytical solutions, supporting programs like Ambassador Scorecard, Associate Training Violations, and Roles Management
- Integration Across Data Sources — Join and transform data from KNET, Formulate, QE (Qualification Engine), Umbrella, Qualtrics, and LATIS into unified analytical views
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Learning, Performance & Engagement (LPE) Technical Solutions team within R2L Analytics builds and maintains 20+ production dashboards, data pipelines, and algorithmic products that power workforce training, labor allocation, and associate performance across Amazon's fulfillment network.
Our tools serve operations leaders across SSD, RSR, and GSF businesses — driving decisions around training compliance, cross-training, onboarding health, and labor optimization at scale. Everything we build refreshes multiple times per day and operates at Sev 3 support levels.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting 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 QUALIFICATIONS
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
automated, self-service analytics that directly impact associate safety, training compliance, and operational efficiency.
Key job responsibilities
- Dashboard Development & Maintenance — Design, build, and maintain QuickSight dashboards across workforce domains including training compliance, onboarding health, labor sharing/cross-training, associate performance, and leader learning
- Data Pipeline Engineering — Build and optimize Airflow DAGs that refresh dashboards on intraday schedules (up to 4x/day), ensuring data freshness and reliability for operational decision-making
- Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms (LSXT UTR), labor allocation optimization, and dynamic headcount targeting models that feed directly into operational tools
- Metric Onboarding — Onboard and maintain metrics in platforms like Perfect Mile for SSD buildings
- Data Quality & Monitoring — Own pipeline health monitoring, alerting, and incident response for Sev 3 production dashboards
- Stakeholder Partnership — Work directly with LPE program teams to translate business requirements into scalable analytical solutions, supporting programs like Ambassador Scorecard, Associate Training Violations, and Roles Management
- Integration Across Data Sources — Join and transform data from KNET, Formulate, QE (Qualification Engine), Umbrella, Qualtrics, and LATIS into unified analytical views
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Learning, Performance & Engagement (LPE) Technical Solutions team within R2L Analytics builds and maintains 20+ production dashboards, data pipelines, and algorithmic products that power workforce training, labor allocation, and associate performance across Amazon's fulfillment network.
Our tools serve operations leaders across SSD, RSR, and GSF businesses — driving decisions around training compliance, cross-training, onboarding health, and labor optimization at scale. Everything we build refreshes multiple times per day and operates at Sev 3 support levels.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting 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 QUALIFICATIONS
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
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Find JobsBusiness Intelligence Lead Job Market in Bellevue
Who's Hiring
- Amazon41
- AAA Washington3
- SID Global Solutions3
- The Pokémon Company International3
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
Business Intelligence Lead Jobs in Bellevue: Frequently Asked Questions
How do I get a business intelligence lead job in Bellevue?
Bellevue's strongest hiring comes from cloud technology, retail analytics, and enterprise software companies concentrated in Downtown Bellevue and Overlake. Candidates who stand out typically combine hands-on experience with tools like Power BI, Tableau, or Looker alongside a proven ability to translate data into executive-level decisions. Familiarity with the fast-paced, product-driven culture common among Bellevue's major tech employers gives applicants a meaningful edge over generalist candidates.
Which companies hire business intelligence leads in Bellevue?
Employers hiring business intelligence leads in Bellevue right now include Amazon, AAA Washington, and SID Global Solutions, based on current listings on Migrate Mate as of September 2026. Bellevue draws a mix of large technology firms, retail and e-commerce companies with significant analytics operations, and mid-size software businesses that rely on embedded BI teams.
Are there remote business intelligence lead jobs in Bellevue?
Yes, business intelligence lead work is well-suited to remote and hybrid arrangements since the role is primarily analytical and desk-based. About 50% of business intelligence lead openings tied to Bellevue are remote or hybrid as of September 2026, reflecting the technology-heavy employer base in the area. Dashboard development, stakeholder reporting, and data modeling tend to be the most commonly remote-eligible responsibilities in Bellevue roles.
How can I get a business intelligence lead job in Bellevue with little or no experience?
The most realistic entry path in Bellevue is moving up from a business intelligence analyst or data analyst role at one of the city's many mid-size technology or e-commerce companies, where smaller teams create faster paths to lead responsibilities. Building a portfolio of end-to-end BI projects, earning a certification in a major analytics platform, and targeting Bellevue employers with growing data teams all improve a candidate's chances of landing a first lead-level position locally.
Which industries hire the most business intelligence leads in Bellevue?
Bellevue business intelligence lead roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of September 2026. Bellevue's dense cluster of technology headquarters and the regional expansion of retail and financial services companies have made it one of the most active BI hiring markets in the Pacific Northwest.
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