Business Intelligence Analyst Jobs in Seattle, WA
Business Intelligence Analyst jobs in Seattle are concentrated in South Lake Union, the Financial District, and Bellevue's tech corridor, with strong demand across cloud technology, healthcare, and retail analytics. Employers hiring right now include Amazon, Amazon Web Services, and TikTok. Scan the live roles below and apply to whichever ones fit.
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DESCRIPTION
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.
The successful candidate will be an expert in data analytics (data engineering and visualizations), and have exemplary verbal and written communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will have to work closely with business partners to answer key business questions through the analytics their team creates. This role requires an individual with excellent analytical abilities, deep knowledge of tools and platforms (like SQL, Tableau, Redshift, Glue, Airflow) for developing business intelligence solutions as well as ability to communicate clearly, and collaborate with both business owners and other analytics teams.
Key job responsibilities
- Lead the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
- Work directly with customers to understand the business problems at hand and propose impactful analyses and solutions.
- Partner with data engineers to develop automated solutions.
- Develop a deep understanding of our vast data sources and identify which to use to solve specific business problems.
- Manage prioritization of business intelligence requests, allocate work across the team, and be responsible for communications with our customers.
- Lead the creation of user-friendly repeatable reporting solutions to minimize ad hoc customer requests.
- Serve as a senior SME and lead for SQL and visualization tools (e.g., Tableau).
- Write high quality SQL to retrieve and analyze data from relational databases (e.g., AWS Redshift).
- Manage and improve our internal customer communication channels (e.g., wikis, data dictionaries).
BASIC QUALIFICATIONS
- 7+ years of business intelligence and analytics experience
- 7+ years of supply chain experience, or a MBA and 5+ years of program or project management experience
- Experience with operations/supply chain
PREFERRED QUALIFICATIONS
- MBA, or Advanced degree
- Experience in the tech industry or equivalent
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, Seattle - 155,100.00 - 209,800.00 USD annually
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Find JobsBusiness Intelligence Analyst Job Market in Seattle
Who's Hiring
- Amazon23

- Amazon Web Services4

- TikTok2

- teleion2

- IntePros2

Top Industries Hiring
- Technology & Software12
- Retail10
- E-Commerce & Online Marketplaces10
- Distribution & Wholesale2
Business Intelligence Analyst Jobs in Seattle: Frequently Asked Questions
How do I get a business intelligence analyst job in Seattle?
Focus your search on South Lake Union and the Eastside tech corridor, where cloud infrastructure, e-commerce, and enterprise software companies hire the most business intelligence analysts. Fluency in SQL, Power BI, or Tableau is expected at most Seattle employers, and experience with cloud data platforms like AWS or Azure stands out here specifically. Targeting mid-size SaaS companies and healthtech firms can also open doors faster than competing for roles at the largest names.
Which companies hire business intelligence analysts in Seattle?
Employers hiring business intelligence analysts in Seattle right now include Amazon, Amazon Web Services, and TikTok, based on current listings on Migrate Mate as of August 2026. Seattle's hiring pool includes major technology companies, regional healthcare systems, and retail and logistics firms with large in-house analytics teams.
Are there remote business intelligence analyst jobs in Seattle?
Yes, business intelligence analyst work is well-suited to remote and hybrid arrangements since the role is primarily desk-based and data-driven. About 75% of business intelligence analyst openings tied to Seattle are remote or hybrid as of August 2026, reflecting how broadly Seattle employers have adopted flexible work policies. Dashboard development and reporting tasks tend to be the most fully remote, while stakeholder collaboration sessions often remain on-site.
How can I get a business intelligence analyst job in Seattle with little or no experience?
The most realistic entry path in Seattle is targeting associate or junior analyst roles at mid-size healthtech, retail analytics, or logistics companies, which tend to have less competition than the largest tech employers. Building a portfolio with public datasets and tools like Tableau or Python, then applying to rotational analyst programs at Seattle-area healthcare networks or regional retailers, gives candidates a concrete edge. Data analyst and reporting analyst titles are common lateral starting points that lead into full BI analyst roles locally.
Which industries hire the most business intelligence analysts in Seattle?
The sectors hiring the most business intelligence analysts in Seattle are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of August 2026. Seattle's outsized concentration of cloud technology companies, major healthcare systems, and national retail and e-commerce headquarters drives consistent local demand for analysts who can turn large datasets into operational decisions.
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