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Data Analytics Sports Jobs in Seattle, WA (NOW HIRING)

Lead Data Architect

Seattle, WA · On-site

$155K - $208K/yr

... line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a ... Analytics, AI and Automation used by business teams across The Walt Disney Company. The Data ...

... sports, cooking, and more. It is where thousands of communities come together for whatever, every ... Design, run, and analyze A/B experiments * Partner with product, engineering, and finance to ...

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Data Analytics Sports information

See Seattle, WA salary details

$25.4K

$106.3K

$198.1K

How much do data analytics sports jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data analytics sports in Seattle, WA is $106,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,362.00 and $142,324.00 per year, depending on experience, location, and employer.

What is a data analytics sports professional?

Data analytics sports jobs involve using data analysis techniques to help sports teams, organizations, or media companies make better decisions. Professionals in this field collect, process, and interpret data related to player performance, game strategy, fan engagement, and business operations. They use statistical tools, programming languages, and visualization software to turn raw data into actionable insights. These roles are vital for gaining a competitive edge, optimizing team performance, and enhancing fan experiences in the sports industry.

What skills and qualifications are needed to thrive as a data analytics sports professional?

To thrive as a Data Analytics Sports professional, you need strong statistical analysis skills, a background in mathematics or data science, and familiarity with sports industry metrics. Proficiency with data visualization tools (like Tableau), programming languages (such as Python or R), and sports analytics software is typically required. Analytical thinking, attention to detail, and strong communication skills set top performers apart in this field. These skills are crucial for transforming complex data into actionable insights that enhance team performance and inform strategic sports decisions.

What are common challenges faced by data analysts in the sports industry, and how can they be addressed?

Data analysts in the sports industry often encounter challenges such as integrating disparate data sources (e.g., player stats, wearable tech, and video analysis), ensuring data accuracy, and translating findings into actionable insights for coaches and management. Addressing these challenges requires strong technical skills, effective communication, and a collaborative approach with IT, coaching staff, and sports scientists. Staying updated with the latest analytics tools and maintaining clear documentation can also help streamline workflows and improve decision-making across teams.

What is the difference between Data Analytics Sports vs Data Analysis in Finance?

AspectData Analytics SportsData Analysis in Finance
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; certifications like SAS or TableauBachelor's in Finance, Economics, or related fields; certifications like CFA, CPA
Work EnvironmentSports teams, leagues, sports analytics firms, media companiesBanks, investment firms, financial institutions, corporate finance departments
Employer & Industry UsageUsed to improve team performance, player stats, fan engagementUsed for risk assessment, investment decisions, financial forecasting

Data Analytics Sports focuses on analyzing sports-related data to enhance team performance and fan engagement, while Data Analysis in Finance centers on financial data to inform investment and business decisions. Both roles require strong analytical skills and data tools but serve different industries and objectives.

What are popular job titles related to Data Analytics Sports jobs in Seattle, WA?

For Data Analytics Sports jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Analytics Sports jobs in Seattle, WA look for?

The top searched job categories for Data Analytics Sports jobs in Seattle, WA are:

Infographic showing various Data Analytics Sports 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 $106,278 per year, or $51.1 per hour.

Lead Data Architect

Seattle, WA

$163K - $218K/yr

Full-time

Posted 17 days ago


Job description

Department Description

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology & Data mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

Team Description:

The Data Solutions & Platforms group is part of Enterprise Technology & Data. We are responsible for designing and developing enterprise solutions and managing a diverse portfolio of products and tools related to Data, Analytics, AI and Automation used by business teams across The Walt Disney Company.

The Data Architect position is one of the key roles on the team. You will have the opportunity to lead and influence the architecture for several strategic programs that will shape the future of data, analytics and AI for The Walt Disney Company. Architecting data platforms and designing data products will be a focus for the role in support of the company’s Data Unification strategy.

You will be working in a challenging, fast-paced, highly collaborative and rewarding environment, as a member of product and engineering teams that work closely with each other and with business leaders to deliver innovative and industry-leading data solutions.

What You’ll Do:

  • Architecting high-scale, secure and interoperable data platforms across the enterprise to enable AI and analytics applications

  • Architecting data domains and designing data products to be shared across the enterprise

  • Architecting cross-segment semantic layer and data catalog solutions

  • Designing an agentic architecture for exposing data from enterprise data lakehouse domains to AI applications

  • Developing MDM strategy and architecting MDM solutions for complex enterprise domains (e.g., Finance, HR)

Required Qualifications & Skills:

  • 7 years+ experience in data architecture and developing enterprise data, analytics and AI solutions

  • Experience architecting and developing high-scale cloud data platforms

  • Experience architecting and developing master data management solutions

  • Experience with data governance

  • Experience with Snowflake

  • Experience with AI/ML

  • Strong communication skills, ability to communicate well to both technical and business audiences

  • Strong collaboration skills

Education:

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

#DISNEYTECH


The hiring range for this position in Orlando, FL is $148,300 - $198,800 per year and in Burbank, CA is $155,700 - $208,700 per year and in Seattle, WA is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.