consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams. THE ROLE As a Data Product Analyst, you will help identify promising markets, companies, products, operators, and i…
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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Requisition Summary As the Aftermarket Purchasing Data Analyst, you will have the opportunity to learn about and support the aftermarket business and to develop analytics tools focused on delivering the highest value to…
financial world. The Role We are seeking a Pricing Implementation Analyst to join our Pricing team in the Lending Organization. This is an... ...working closely with a world-class team of business leaders and data scient…
attention. Pay Range Salary $85,509.00 - $128,274.00 Overlake Medical Center & Clinics has a newly created opportunity for a Data Analyst of Revenue Cycle to work within both the Overlake Medical Center & MultiCare Healt…
The Data Analyst 3 will be a senior member of the Supply Chain Analytics team, owning the delivery of data and insights for Nordstrom’s Supply Chain Organization. The Data Analyst 3 will provide ongoing data support, per…
Job Description Job Description Job Title: Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract Compensation: $35.36 per hour on W2 Security Clearance: US Citizen or Greencard Holder…
Job Description Job Description Description Alta Planning + Design seeks a Civic Data Analyst (Sustainable Mobility) for our Seattle office. This position is a great opportunity for someone who believes in the importance…
current or future employer sponsorship for an employment-based visa status. Who we're looking for: We are seeking a Senior Data Analyst to partner closely with Rover’s Infosec team and Trust and Safety Leadership team, d…
We are seeking a Snowflake Data Analyst/ Engineer with strong expertise in Snowflake, SQL, and data pipeline validation. The ideal candidate will be responsible for designing and optimizing data models, validating data p…
Job Description Job Description We are looking for a Senior Financial Data Analyst to serve as a collaborative advisor to finance and business stakeholders by owning and evangelizing all aspects of the forecast process.…
We are looking for a Staff Engineer to build, and maintain the data infrastructure at Gusto Retirement. This is a cross-functional role... ...teams and work closely with Product, Data Science and Analysts, Compliance and…
Healthcare Data Analyst, Data Ecosystem Team Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower ever…
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
Applying for data analyst jobs in Seattle?
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