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Statistical Data Analyst Jobs in Seattle, WA (NOW HIRING)

Lead Data Analyst

Seattle, WA ยท On-site

$90 - $130/hr

Own UA and ROAS analysis. Build cohort-level ROAS and payback curves from MMP data (we use Singular ... Real statistical judgment: experimental design, uncertainty, and the classic traps -- selection ...

Sr Health Data Analyst

Seattle, WA ยท On-site

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented ... Further experience with R or other statistical tools highly desirable โ€ข Strong analytic and ...

Sr. Data Analyst/BIE

Seattle, WA

$97K - $123K/yr

... of data collection, reporting, and analysis across our team through all phases of software ... Basic Qualifications BS or MS or PHD in Applied Mathematics, Statistics, Economics, Computer ...

Sr. Health Data Analyst

Seattle, WA ยท On-site

$97K - $123K/yr

Title: Sr. Health Data Analyst Location: Seattle, WA Job Type: Permanent Roles and Responsibilities ... Further experience with R or other statistical tools highly desirable * Strong analytic and ...

Sr. Health Data Analyst

Seattle, WA

$97K - $123K/yr

Title: Sr. Health Data Analyst Location: Seattle, WA Job Type: Permanent Roles and Responsibilities ... Further experience with R or other statistical tools highly desirable * Strong analytic and ...

Data Analyst with Power BI Report Redmond, WA Long Term Responsibilities: Build effective and ... Statistical tools like SAS/R (desirable) Additional Information Phani phani(at)scoutet(dot)com 609 ...

Statistical Scientist (Ph.D.)

Bellevue, WA ยท On-site

$133K - $150K/yr

Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...

Statistical Scientist (Ph.D.)

Bellevue, WA ยท On-site

$133 - $150/hr

Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...

Showing results 21-40

Statistical Data Analyst information

See Seattle, WA salary details

$34.2K

$80.2K

$133.8K

How much do statistical data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical data analyst in Seattle, WA is $80,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $92,200.00 per year, depending on experience, location, and employer.

What does a statistical data analyst do?

A Statistical Data Analyst is responsible for collecting, processing, and interpreting large sets of data to identify trends, patterns, and insights that inform business decisions. They use statistical techniques and software tools to analyze data, create reports, and present their findings to stakeholders. Statistical Data Analysts often work closely with other teams to support research, improve processes, or solve specific problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a statistical data analyst?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, a solid background in statistics or mathematics, and typically a bachelor's or master's degree in a related field. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools and databases, is essential. Outstanding analytical thinking, attention to detail, and the ability to communicate complex findings clearly make someone stand out in this position. These skills are crucial for accurately interpreting data, providing actionable insights, and supporting effective decision-making within organizations.

What are some common challenges statistical data analysts face when interpreting large datasets, and how are these typically addressed in the workplace?

Statistical Data Analysts often encounter challenges such as dealing with incomplete or inconsistent data, managing large volumes of information, and ensuring the accuracy of their analyses. To address these, analysts typically use data cleaning techniques, collaborate closely with data engineers or IT teams to streamline data pipelines, and employ robust statistical methods to minimize errors. Regular team meetings and peer reviews are also common practices to ensure the validity of results and to foster a collaborative problem-solving environment.

What is the difference between Statistical Data Analyst vs Data Scientist?

AspectStatistical Data AnalystData Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysisBachelor's or higher in Computer Science, Statistics, or related; often advanced degrees and certifications in machine learning
Work EnvironmentCorporate, finance, healthcare, government; focused on data reporting and analysisTech firms, startups, research; involves data modeling, machine learning, and predictive analytics
Employer & Industry UsageUsed across industries for data reporting and insightsUsed in tech, finance, and research for complex data modeling and predictive tasks

While both roles analyze data, Statistical Data Analysts focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms to predict future trends. The roles overlap in skills but differ in complexity and scope.

What job categories do people searching Statistical Data Analyst jobs in Seattle, WA look for?

The top searched job categories for Statistical Data Analyst jobs in Seattle, WA are:

Infographic showing various Statistical Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,220 per year, or $38.6 per hour.

Lead Data Analyst

BITKRAFT Ventures

Seattle, WA โ€ข On-site

$90 - $130/hr

Other

Posted 4 days ago


Job description

About Starform

Starform is a ~25-person studio building bold, new multiplayer games. Our first title, Metalstorm โ€” a 5v5 arcade air-combat game โ€” has reached over 15 million players worldwide. We operate leveraging AI to be more ambitious: small team, high bar, AI woven into workflows that make sense. We believe that a small team of the right people, moving fast with modern tools, out-builds studios ten times our size.

The Role

Your analysis moves real decisions weekly: where UA dollars go, which experiments ship, how the game economy gets tuned. There's no analytics bureaucracy here โ€” the distance between your work and a decision is one conversation, and the decisions are often critical to the teamโ€™s direction and decision-making.

What You'll Do

  • Own UA and ROAS analysis. Build cohort-level ROAS and payback curves from MMP data (we use Singular), separate signal from attribution noise, and make scale/hold/kill recommendations on live campaigns.
  • Analyze the game economy. Track sinks, sources, conversion, and progression โ€” how players actually move through new systems, not how we hoped they would.
  • Help Design and read experiments. A/B tests across events, offers, onboarding, and pricing, with honest uncertainty and a clear recommendation every time.
  • Run the studio's vital signs. Weekly top-line metrics and monthly retention deep dives by geography, cohort, platform.
  • Build AI-assisted analysis workflows. Agents and pipelines that pull, clean, and pre-analyze data so your time goes to judgment, not plumbing.

What We're Looking For

  • 3+ years of quantitative analysis on a live product; free-to-play experience strongly preferred.
  • Expert SQL.
  • Real statistical judgment: experimental design, uncertainty, and the classic traps โ€” selection effects, survivorship, immature cohorts. You know why a forward-filled ROAS curve lies.
  • AI-fluent. You already use LLMs and agents daily in your analysis work, and you can show us how.
  • You communicate like a decision is on the line: clear writing, plain language for non-technical audiences, and you always land on a recommendation.
  • You actually play games โ€” Candy Crush, Halo, or anything in between.

Nice to Have

  • Redshift and Hex (our stack), or comparable warehouse/BI tools.
  • Attribution/MMP data experience (Singular, AppsFlyer, Adjust).
  • LTV, payback, and predictive modeling; marketing analytics.
  • Live-ops or virtual-economy analytics.
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