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

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the ... Statistics, Economics, Computer Science or other quantitative disciplines Additional Information ...

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the ... Mathematics, Statistics, Economics, Computer Science or other quantitative disciplines ...

Company Description First IT Solutions Mandatory Technical Skills: 3+ years of hands-on experience on either ad-hoc data analysis or statistical analysis using any statistical languages (SAS or R)

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Participate in exploratory data analysis, statistical inference, and predictive modeling projects. * Apply risk analysis to problems in engineering, health, finance, ecology, and the environment.

The Statistical Scientist will work within the Data Sciences Practice, focusing on data collection, management, visualization, and inferential analysis, while also applying risk analysis ...

As a data analyst in global operations, you'll have the opportunity to combine your analytical ... Solid understanding of statistical analysis with practical application to real-world business ...

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science ...

New

Data Analyst Sr

Seattle, WA · On-site

$118K - $177K/yr

... basic statistical analyses to make comparisons and detect trends. - Utilizes established data analysis models and tools for analyzing qualitative or quantitative data. - Applies fundamental ...

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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 21, 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.

Contractor

Re-posted 6 days ago


Job description

Company Description

SRI Tech is an IT staffing and solutions firm that serves clients with a full range of IT services that we deliver effectively and efficiently. Ranked in the top 20% of the fastest growing companies in the US by Inc. 5000 - SRI Tech is fast growing & dynamic firm maintaining its speed to be one of the leaders in serving IT. 



Job Description

Position: Data Analyst

Location: Redmond, WA

Duration: 6 Months +

Responsibilities:

  • Data Analyst for the team that owns the A/B experimentation platform
  • Interacting with decision makers from around the company to understand their needs and build solutions
  • Answering why an experiment performed well or poorly
  • Communicating analysis results, both verbally and in writing, to business partners
  • Validating and improving the data driven decision making process
  • Building key metrics and modeling reports for communication with business leaders

Qualifications:

  • Experiment design - You should have a deep understanding of experiment design: Control vs variations, multivariate experiments, simple random sampling etc.
  • Experience working with large data sets
  • Excellent SQL query skills, ML and R
  • Strong problem solving skills, and an ability to apply them in the context of a fast-paced business environment
  • Good written and oral communication skills to translate complex models and analysis results into layman terms
  • Capable and motivated to collaboratively work with a business and engineering
  • BS in Applied Mathematics, Statistics, Economics, Computer Science or other quantitative disciplines
Additional Information

SRI Tech SolutionsCertified Minority Business Enterprise | An E-Verify EmployerSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.