300+ Data & Analytics Jobs in Seattle, WA

The cleanest local wage anchor is older BLS data showing Seattle data scientist median pay at $142,810, but newer BLS-based summaries place the local data scientist median around $164,740, with a broader range of $81,130 to $230,980. Recent sampled postings across the whole Data, Analytics & AI category center on about $136k to $215k, while specialty Seattle AI contract roles were quoted at roughly $95 to $175 an hour depending on the role.

Full August 2026 market report

Advertised pay

Across the 319 openings that disclose pay, the advertised range midpoint runs $141,525 at the 25th percentile, $172,500 at the median and $218,514 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 25, 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, Analytics & AI, but it is not an easy one to break into. The metro showed more than 250 postings across more than 125 companies over the last 90 days, and BLS concentration data still points to a heavier-than-average presence of data-intensive work in Seattle. Statewide occupation-specific signals are better than the broader labor backdrop: Revelio Public Labor Statistics shows Washington Data, Analytics & AI postings up 14.2% year-over-year while employment in the occupation is essentially flat, even as Washington's overall employment slipped -0.5223% year-over-year and Seattle metro unemployment reached 5.1% in July 2026. Most openings skew mid-to-senior and local-presence, with about 40% mid-level, about 35% senior, about 15% lead+, and only about 10% entry-level, while about 50% of roles are on-site and about 40% hybrid.

Best positioned: Candidates with proven Python and SQL, a portfolio that shows business impact, and either ML/LLM exposure or product-facing analytics experience have the best odds, especially if they are open to on-site or hybrid work around Seattle and the Eastside.

Main caution: Do not let headline AI salaries fool you into thinking access is broad: top-end local pay is tied to senior or specialized roles such as Director, AI, while August WARN notices from Amazon, Starbucks, Google, and Zillow will likely add more experienced applicants to the market.

From the August 2026 market report

Who is hiring here

Counted across all 336 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Amazon: 37 open roles
2. TikTok USDS Joint Venture: 24 open roles
3. Microsoft: 21 open roles
4. Atlassian Corp.: 14 open roles
5. TikTok Inc.: 10 open roles
6. Alignerr Corp.: 8 open roles
7. PySpark: 8 open roles
8. Apple, Inc.: 6 open roles
9. Amazon Inc.: 5 open roles
10. Latitude: 5 open roles

Where the openings are

• Seattle: 223
• Bellevue: 47
• Redmond: 25
• Mountain View: 4
• San Francisco: 4
• Silverdale: 3
• Renton: 3
• Richland: 2

Work arrangement

on-site 194 (60%), hybrid 97 (30%), remote 33 (10%)

Where the demand is

Real opportunity is spread across a long tail, not one dominant buyer. Over the last 90 days, the metro showed more than 250 postings across more than 125 companies, and employer concentration in the sample was fragmented. The most active industries in the sample were technology at about 30%, software development about 15%, computer hardware development about 15%, retail about 10%, and financial services about 10%. Within that mix, the clearest demand pockets are applied AI/ML, product-facing data science, and analytics leadership. Fresh local signals include an Associate Data Scientist role at PACCAR in Bellevue, a Data Scientist, Product opening on a Seattle AI/ML board, a Manager, Data Analytics role at Walmart Global Tech, a Director, Data Science & Analytics posting in Seattle, and late-August AI openings from Axon, Metropolis, PitchBook Data, and Taxbit. The market is much thinner for pure entry-level reporting work, because the sampled mix skews to about 40% mid-level, about 35% senior, and about 15% lead+ roles.

• Applied AI / ML / LLM roles (high): Recruiter and live-posting signals point to active local demand for machine learning, LLM, generative AI, and ML platform talent, with openings appearing across firms such as Axon, Metropolis, PitchBook Data, and Taxbit.
• Product-facing data science (high): Seattle still shows product-linked demand, including a current Data Scientist, Product opening, which favors candidates who can connect models and analysis to user, revenue, or product decisions.
• Analytics leadership and manager roles (moderate): Manager and director openings in analytics and AI are still appearing locally, but they are fewer, more specialized, and aimed at candidates who already have team leadership and business ownership experience.
• Traditional BI / reporting analyst work (limited): These roles still exist, but the local skill mix centers on Python, SQL, machine learning, R, and statistical modeling, while the entry share is only about 10%, so plain dashboard-only resumes face the most crowding.

Where to focus: Focus on roles where analytics is tied to a product, revenue, operations, or AI initiative, and treat pure dashboard-only openings as a fallback rather than your main plan.

Roles worth searching next

• Business analyst: AI is automating some data-prep and SQL work, which increases the value of people who can define requirements, validate outputs, and translate findings for stakeholders.
• Product manager, data or AI features: Local demand still includes product-facing data science, and 2026 research shows data professionals moving closer to decision-making and AI orchestration, which overlaps with product work.
• Marketing analytics / growth measurement: If your strength is experimentation, dashboards, and SQL, those skills transfer into growth and measurement work even when core AI openings are too senior.
• Data governance or risk analyst: 2026 hiring guidance increasingly emphasizes governance and risk control around data and AI, which opens a neighboring path for candidates with quality, compliance, or audit instincts.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 75% of sampled local postings, making it the clearest baseline screen in this market. Who: Everyone targeting analyst, scientist, BI, decision science, or ML-adjacent roles.
• SQL plus analytical QA (table_stakes | immediate): SQL shows up in about 60% of sampled local postings, but 2026 AI tools are also automating SQL generation, so the real edge is writing, checking, and explaining logic rather than just producing queries. Who: Entry-level candidates, career switchers, and anyone whose recent work has been more dashboard than code.
• Machine learning, LLM, and generative AI (premium | immediate): Local recruiter signals specifically call out machine learning, LLM, generative AI, and ML platform engineering, and broader 2026 analysis says AI skills command an average 62% wage premium. Who: Mid-career candidates and specialists aiming above general analytics roles.
• Statistical modeling and R (differentiator | near-term): Local postings still request R in about 35% of the sample and statistical modeling in about 20%, which helps you look more rigorous than a dashboard-only applicant. Who: Data scientists, decision scientists, and analysts applying into experimentation, forecasting, or inference-heavy work.
• Tableau, Power BI, Looker, and cloud analytics platforms (table_stakes | near-term): Tableau appears in about 20% of sampled local postings, and 2026 analytics guidance says cloud analytics platforms such as Tableau Cloud, Microsoft Power BI, and Looker are now core tools for decision-making environments. Who: Analysts, BI candidates, and switchers who need a more employable presentation layer for their work.
• Data governance (differentiator | near-term): 2026 hiring guidance increasingly emphasizes governance, compliance, and risk control around data and AI, which is a useful way to stand out beyond raw modeling skill. Who: Candidates with finance, healthcare, audit, legal, or regulated-industry backgrounds.

Questions about this market

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

The cleanest local wage anchor is older BLS data showing Seattle data scientist median pay at $142,810, but newer BLS-based summaries place the local data scientist median around $164,740, with a broader range of $81,130 to $230,980. Recent sampled postings across the whole Data, Analytics & AI category center on about $136k to $215k, while specialty Seattle AI contract roles were quoted at roughly $95 to $175 an hour depending on the role. This is a high-pay market by both state and national standards: Revelio Public Labor Statistics puts the mean offered salary on Washington Data, Analytics & AI openings at ~$141,545 versus ~$92,435 across all Washington openings, and the U.S. BLS median for data scientists was $120,230 in May 2025.

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

Real opportunity is spread across a long tail, not one dominant buyer. Over the last 90 days, the metro showed more than 250 postings across more than 125 companies, and employer concentration in the sample was fragmented. The most active industries in the sample were technology at about 30%, software development about 15%, computer hardware development about 15%, retail about 10%, and financial services about 10%. Within that mix, the clearest demand pockets are applied AI/ML, product-facing data science, and analytics leadership. Fresh local signals include an Associate Data Scientist role at PACCAR in Bellevue, a Data Scientist, Product opening on a Seattle AI/ML board, a Manager, Data Analytics role at Walmart Global Tech, a Director, Data Science & Analytics posting in Seattle, and late-August AI openings from Axon, Metropolis, PitchBook Data, and Taxbit. The market is much thinner for pure entry-level reporting work, because the sampled mix skews to about 40% mid-level, about 35% senior, and about 15% lead+ roles.

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

Recent postings show the most activity from Microsoft (None postings), Amazon (None postings), Campus Building (None postings), Amazon Inc. (None 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, 10% are remote and 40% hybrid, with 50% 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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