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Data Analyst jobs in Seattle, WA
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
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Open data analyst roles
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Business Data Technologies (BDT) makes it easier for teams across Amazon to produce, store, catalog, secure, move, and analyze data at... ...· Build and deliver high quality data sets to support business analyst, data sc…
Analytics Team Our People Analytics team distills insights from our data to drive informed workforce decisions across the organization.... ...and supports better business outcomes. The Staff Data Analyst People Analytics…
insights to accelerate growth. Partner with key cross-functional stakeholders, including but not limited to Marketing, Finance & Strategy, Data Science, Seller Systems, and Strategic Operations to streamline and optimize…
Req ID:388969NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be... ...North America is seeking a GTM Decision Intelligence Quantitative Analyst to deve…
Product AnalystCompany:The Boeing CompanyBoeing Commercial Airplanes (BCA) is seeking a Product Analyst (Level 3 or 4) to join the Boeing Commercial Airplanes Marketing - Product Marketing and Analysis team in Renton, Wa…
you to bring your civil engineering and land development experience into play as you support the planning, permitting, and design of data center and other large-scale industrial sites. This role will provide hands-on tec…
Job Title: Salesforce - Business Analyst You are an experienced Salesforce Business Analyst with a passion for solving complex business... ...business workflows to assist in stakeholder alignment* Capture data, reporting…
We are looking for a highly capable, detail-oriented Lead Financial Reporting Analyst to join our team. This position is ideal for someone with deep technical accounting expertise related to complex investments and a str…
much more, you can decide where a career with Prime Video takes you!Prime Video's Partner and Content Foundations (PCF) product and data organization obsesses over partners by delivering world-class tools that enable the…
in on this mission. If you are too, let's talk.The Technology, Data and Intelligence (TDI) Team MessageOkta’s Technology, Data and Intelligence... ...drive scale and innovation through technology.The Staff Product Analys…
We are looking for an experienced Senior Business Analyst with strong expertise in Advanced SQL, Tableau/Amazon QuickSight, AWS, and ETL... ...with large datasets, developing complex SQL queries, and creating data visual…
What data analysts earn in Seattle
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $33–$48 | $69k–$100k |
| Mid level | $48–$63 | $100k–$131k |
| Senior | $60–$81 | $125k–$169k |
Adjusted for the Seattle market from national ranges.
What employers ask for
The skills these listings keep naming
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
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