BI Analyst Jobs in Seattle, WA
BI Analyst jobs in Seattle are in strong demand, concentrated in South Lake Union, the Central Business District, and Bellevue across technology, healthcare, and e-commerce. Employers actively hiring include Amazon, Amazon Web Services, and TikTok. Scan the live roles below and apply to whichever ones fit.
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DESCRIPTION
Are you looking for a role where you have the opportunity to shape Amazon’s Pricing data analytics, and insights? If so, our role in Amazon's Pricing Data and Insights organization is for you.
Amazon's Pricing Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improve back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing organization leverages planet scale multi-modal data on billions of Amazon's and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of design of experiments and statistical analysis of results
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience in AWS services
- Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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.
COMPENSATION
- 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.
LOCATION
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
DESCRIPTION
Are you looking for a role where you have the opportunity to shape Amazon’s Pricing data analytics, and insights? If so, our role in Amazon's Pricing Data and Insights organization is for you.
Amazon's Pricing Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improve back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing organization leverages planet scale multi-modal data on billions of Amazon's and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of design of experiments and statistical analysis of results
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience in AWS services
- Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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.
COMPENSATION
- 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.
LOCATION
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
See All 59 BI Analyst Jobs in Seattle
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Find BI Analyst JobsBI Analyst Job Market in Seattle
Who's Hiring
- Amazon30
- Amazon Web Services8
- TikTok2
- teleion2
- IntePros2
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
BI Analyst Jobs in Seattle: Frequently Asked Questions
How do I get a bi analyst job in Seattle?
The strongest path into Seattle's bi analyst market is through its dominant tech and cloud-services sector, where companies in South Lake Union and Bellevue hire continuously for roles tied to product analytics and operational reporting. Candidates who can demonstrate proficiency in Power BI or Tableau, combined with SQL fluency, stand out locally. Targeting healthcare systems and e-commerce companies in the greater metro also opens consistent opportunities at both mid-market and enterprise levels.
Which companies hire bi analysts in Seattle?
Employers hiring bi analysts in Seattle right now include Amazon, Amazon Web Services, and TikTok, based on current listings on Migrate Mate as of September 2026. Seattle's hiring landscape is especially active among large technology firms, regional healthcare networks, and retail and logistics companies headquartered in or near the metro.
Are there remote bi analyst jobs in Seattle?
Yes, bi analyst work is well-suited to remote arrangements given its desk-based, data-driven nature. About 48% of bi analyst openings tied to Seattle are remote or hybrid as of September 2026, reflecting how widely distributed analytics teams have become across the region. Dashboard development and reporting work in particular tends to be the most remote-friendly portion of the role among Seattle employers.
How can I get a bi analyst job in Seattle with little or no experience?
The most realistic entry point in Seattle is a junior or associate analyst role at a mid-size tech company or regional healthcare organization, where smaller teams often train candidates who show strong SQL fundamentals and data visualization skills. Internships at Seattle-area firms or lateral moves from roles in data entry, operations, or financial analysis provide a practical bridge. Building a portfolio of Power BI or Tableau dashboards using public datasets is a concrete way to demonstrate readiness to local hiring managers.
Which industries hire the most bi analysts in Seattle?
Most bi analyst openings in Seattle sit in Technology & Software, Retail, and E-Commerce & Online Marketplaces, per current listings on Migrate Mate as of September 2026. Seattle's outsized concentration of global technology headquarters, major hospital systems, and large-scale retail and logistics operations makes these sectors the dominant and most consistent sources of local bi analyst demand.
Related Jobs in Washington
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