Data Analyst Jobs in Seattle, WA

For a hard local anchor, BLS puts Seattle data scientists at $108,740 at the 25th percentile, $164,740 at the median, and $210,370 at the 75th percentile in 2025. Higher-end research-heavy AI roles proxy even above that: computer and information research scientists were at $153,130 at the 25th percentile and $211,270 at the median. More current sampled postings center on about $136k to $198k locally, while Revelio Public Labor Statistics shows a Washington mean offered salary on new openings of about $136,742 in September 2026 (n=1,329).

Full September 2026 market report

Advertised pay

Across the 287 openings that disclose pay, the advertised range midpoint runs $137,910 at the 25th percentile, $165,000 at the median and $203,900 at the 75th. These are advertised ranges, not earned pay.

Active openings as of November 10, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 250+ openings.

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What our analysts see this month

Competitive market | next 3-6 months

Seattle is still a real market for data and AI, but it is not an easy one. The metro shows more than 300 sampled postings across more than 125 companies in the last 90 days, while metro unemployment was 4.8% in August 2026 and total nonfarm employment was up 0.8752% year over year. At the same time, Revelio Public Labor Statistics shows Washington data, analytics & AI postings up 32.1% year over year while statewide employment in the field was down 1.0%, which points to strong employer interest but a tougher race for each opening.

Best positioned: Your best odds are if you already have 3-8 years of experience, can work on-site or hybrid, and can show Python, SQL, and machine-learning work tied to business outcomes, because the sampled market is about 45% mid-level, about 35% senior, and heavily asks for those skills.

Main caution: The biggest trap is assuming Seattle's salary headlines mean broad access; only about 10% of sampled postings are entry-level and only about 5% are remote.

From the September 2026 market report

Who is hiring here

Counted across all 308 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Amazon: 32 open roles
2. Microsoft: 24 open roles
3. Alignerr Corp.: 14 open roles
4. TikTok Inc.: 12 open roles
5. PySpark: 11 open roles
6. TikTok: 10 open roles
7. Apple, Inc.: 9 open roles
8. TikTok Economic Impact: 8 open roles
9. TikTok USDS Joint Venture: 8 open roles
10. Amazon Inc.: 7 open roles

Where the openings are

• Seattle: 186
• Redmond: 42
• Bellevue: 42
• Kirkland: 8
• Renton: 4
• Bothell: 2
• Kent: 2
• San Francisco: 1

Work arrangement

on-site 188 (63%), hybrid 85 (29%), remote 25 (8%)

Where the demand is

Real opportunity is concentrated where Seattle already over-indexes in technical work. BLS said computer and mathematical occupations made up 9.3% of Seattle-Tacoma-Bellevue employment in May 2025, versus 3.4% nationally. In the sampled local data market, the most-active industries are software development at about 30%, technology at about 20%, research services at about 15%, internet & web services at about 10%, and retail at about 10%. That means the best targets are not evenly spread across every employer type. The employer base is fragmented rather than winner-take-all, but the named leaders are still large platform employers—Amazon, Amazon Inc., Microsoft, and Campus Building—while the role mix skews to mid and senior talent. If you insist on fully remote work, you are fishing in the smallest pond, because only about 5% of sampled postings are remote. The second pocket is venture-backed applied AI. In September alone, Nuance Labs, Augmeta, and Meadow AI all linked fresh funding to planned team expansion, and Databricks continued integrating a Seattle acquisition into its local office footprint through the Row Zero deal.

• Large platform employers (high): Still the most visible pool, led by Amazon and Microsoft in the local sample, but competition is strongest and the roles skew mid-to-senior.
• Applied analytics in retail and business services (moderate): Retail accounts for about 10% of sampled category demand locally, and metro professional and business services employment was up 0.6278% year over year in August 2026.
• Venture-backed AI and data startups (moderate): Smaller absolute volume, but recent Seattle funding rounds at Nuance Labs, Augmeta, and Meadow AI point to fresh team build-outs.

Where to focus: Focus first on mid-level, on-site or hybrid roles in tech, research, retail, and venture-backed AI teams where your work can be tied to revenue, experimentation, forecasting, or model evaluation.

Roles worth searching next

• Business Analyst / Analytics Translator: As AI automates routine query and reporting work, the value of problem framing, stakeholder communication, and validating outputs against business reality rises.
• Data Governance / AI Governance Analyst: Governance and quality control are becoming core analyst responsibilities, and AI governance is one of the specialized skills tied to compensation.
• AI Assurance & Validation Specialist: It is one of the emerging career archetypes at the intersection of data and generative AI.
• Business Intelligence Developer: It stays close to SQL, semantic modeling, and dashboard work, and Robert Half puts the U.S. midpoint at $134,750 for 2027.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 75% of sampled local postings, making it the clearest baseline filter in this market. Who: Everyone except very dashboard-only candidates.
• SQL (table_stakes | immediate): SQL shows up in about 60% of sampled local postings and remains the fastest way to prove you can work with production data, not just notebooks. Who: Entry-level candidates, career switchers, and BI-leaning applicants first.
• Machine learning (premium | immediate): Machine learning is requested in about 40% of sampled local postings, and broader Seattle skill signals also list it among the most in-demand tools for data analysts and data scientists. Who: Mid-career analysts, data scientists, and anyone targeting higher-paying AI-facing roles.
• Power BI / data visualization (differentiator | near-term): Data visualization appears in about 15% of sampled local postings, and broader Seattle skill signals specifically name Power BI among in-demand tools. Who: Entry-level applicants, business-facing analysts, and career switchers.
• AI governance and data governance (premium | near-term): Quality control and governance are becoming core analyst responsibilities as AI generates more insights, and AI governance is one of the specialized skills tied to compensation upside. Who: Mid-career candidates, switchers with compliance or operations backgrounds, and anyone pursuing regulated-industry work.
• Prompt engineering and AI-assisted analysis workflow (differentiator | near-term): Prompt engineering is becoming useful for data professionals, while AI tools are already handling routine SQL, cleanup, charting, and report-drafting tasks. Who: Analysts who want to look faster and more senior without moving fully into engineering.

Questions about this market

What do Data, Analytics & AI roles pay in Seattle-Tacoma-Bellevue, WA?

For a hard local anchor, BLS puts Seattle data scientists at $108,740 at the 25th percentile, $164,740 at the median, and $210,370 at the 75th percentile in 2025. Higher-end research-heavy AI roles proxy even above that: computer and information research scientists were at $153,130 at the 25th percentile and $211,270 at the median. More current sampled postings center on about $136k to $198k locally, while Revelio Public Labor Statistics shows a Washington mean offered salary on new openings of about $136,742 in September 2026 (n=1,329). This is a high-pay market by national standards: the national median for data scientists was $120,230 in 2025, well below Seattle's $164,740 local median. But Seattle pay is buying into a market where housing is still expensive even after the Seattle home price index was down 2.1% year over year in July 2026.

Where is demand for Data, Analytics & AI roles in Seattle-Tacoma-Bellevue, WA concentrated?

Real opportunity is concentrated where Seattle already over-indexes in technical work. BLS said computer and mathematical occupations made up 9.3% of Seattle-Tacoma-Bellevue employment in May 2025, versus 3.4% nationally. In the sampled local data market, the most-active industries are software development at about 30%, technology at about 20%, research services at about 15%, internet & web services at about 10%, and retail at about 10%. That means the best targets are not evenly spread across every employer type. The employer base is fragmented rather than winner-take-all, but the named leaders are still large platform employers—Amazon, Amazon Inc., Microsoft, and Campus Building—while the role mix skews to mid and senior talent. If you insist on fully remote work, you are fishing in the smallest pond, because only about 5% of sampled postings are remote. The second pocket is venture-backed applied AI. In September alone, Nuance Labs, Augmeta, and Meadow AI all linked fresh funding to planned team expansion, and Databricks continued integrating a Seattle acquisition into its local office footprint through the Row Zero deal.

Which employers are hiring the most Data, Analytics & AI talent in Seattle-Tacoma-Bellevue, WA?

Recent postings show the most activity from Amazon (30 postings), Amazon Inc. (20 postings), Microsoft (20 postings), Campus Building (15 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Seattle-Tacoma-Bellevue, WA be done remotely?

Of recent postings, 5% are remote and 30% hybrid, with 60% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

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