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Sport Data Analyst Jobs in Bothell, WA (NOW HIRING)

Loot Labs

Lead Collectibles Buyer

Seattle, WA · Remote

Source sports cards, TCGs, sealed products, singles, and collections. * Design loot tables and ... Strong spreadsheet, tracking, and data-analysis skills. * Good judgment around pricing, margins ...

Slalom Build

Database Transformation Expert

Seattle, WA · On-site

$68.63 - $91.50/hr

Mehrjährige Erfahrung im Data Analytics Bereich, vornehmlich in der Migration heterogener ... Mit deiner Mitgliedschaft bei EGYM Wellpass hast du Zugang zu über 2.800 Sport-, Fitness- und ...

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Amazon

Senior Finance Analyst, Prime Video Finance

Seattle, WA · On-site

$97K - $121K/yr

... live sport including the NHL in Canada, Copa do Brasil in Brasil, or ICC cricket in Australia ... Use data systems to identify insights and surface them to senior management. Lead the financial ...

Amazon

Senior Finance Analyst, Prime Video Finance

Seattle, WA · On-site

$97K - $121K/yr

... live sport including the NHL in Canada, Copa do Brasil in Brasil, or ICC cricket in Australia ... Use data systems to identify insights and surface them to senior management. Lead the financial ...

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Showing results 41-60

All JobsSport Data Analyst JobsSport Data Analyst Jobs in Bothell, WA

Sport Data Analyst information

See Bothell, WA salary details

$38K

$92.4K

$152K

How much do sport data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for sport data analyst in Bothell, WA is $92,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 per year, depending on experience, location, and employer.

What does a sport data analyst do?

As a sports data analyst, your job is to collect and monitor the statistics for an athlete, game, or team. As part of this analysis, you may use an algorithm to help predict future performance, help apply the information to business decisions, or provide stats and feedback for announcers to mention during a game. Sports data analyst roles fall into two positions. The first is the business aspect. In this version of the job, your main role is helping improve the team's performance by applying data. In the second position, you focus more on entertainment and providing data to fans who want to know more about the athletes. This is a more time-sensitive job during games, and most sports data analysts spend hours inputting and evaluating information so they can be ready to answer questions.

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

To thrive as a Sport Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, data science, or sports analytics. Familiarity with data analysis tools like SQL, Python, R, and sports-specific software, as well as experience with data visualization platforms, is often required. Excellent communication, attention to detail, and the ability to work collaboratively with coaches and athletes are standout soft skills. These competencies are crucial for translating complex data into actionable insights that improve team performance and strategic decision-making.

How does a sport data analyst typically collaborate with coaches and athletes to improve team performance?

Sport Data Analysts work closely with coaches and athletes to translate complex data into actionable insights that enhance performance. They often attend training sessions and matches to collect real-time data, and then meet with coaching staff to discuss trends, strengths, and areas for improvement. Effective communication is crucial, as analysts must present their findings in an understandable way that can directly inform game strategies, player development, and injury prevention. This collaborative environment fosters a cycle of continuous feedback and data-driven decision making.

What is the difference between Sport Data Analyst vs Sports Statistician?

AspectSport Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or higher in Statistics, Mathematics, or related fields; strong analytical skills
Work EnvironmentSports teams, analytics firms, media companies, or sports organizationsResearch institutions, sports organizations, or media outlets
Employer & Industry UsageUsed for performance analysis, player evaluation, and strategic decision-makingUsed for statistical modeling, historical data analysis, and record keeping

While both roles involve analyzing sports data, Sport Data Analysts focus on applying data insights to improve team performance and strategy using advanced tools. Sports Statisticians primarily handle data collection, record-keeping, and statistical modeling. The roles often overlap but differ in their primary focus and application within the sports industry.

How much do sport data analysts get paid?

Sport data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and the level of the organization. Entry-level positions may start around $40,000, while senior analysts or those working for major sports teams can earn over $100,000. Skills in data analysis tools and sports statistics are highly valued in this role.
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Sport Data Analyst jobs near you
Infographic showing various Sport Data Analyst job openings in Bothell, WA as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $92,382 per year, or $44.4 per hour.

Sr Data Engineer

Disney Entertainment and ESPN Product & Technology

Seattle, WA • On-site

$148K - $199K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. 

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.  

Here are a few reasons why we think you’d love working here: 

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. 

Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.  

Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. 

Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. 

This role involves building and maintaining our Identity Householding Data products.  These products serve as a comprehensive source of truth for enterprise-wide customer identifiers and their groupings. The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data.

Responsibilities:

  • Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings
  • Enhance/improve the underlying codebase to be extensible, reusable, and maintainable. Increase unit test coverage on the existing codebase.
  • Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency, and decrease costs.
  • Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.
  • Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.
  • Participate in on-call support
  • Participate in code reviews and problem-solving.

Basic Qualifications:

  • Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 
  • 5+ years of related big data engineering experience modeling and developing large data pipelines
  • Hands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level.
  • Strong Python, Scala/Spark and SQL skills processing big datasets
  • Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)
  • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
  • Operational experience in multi-system/services production environment as point-of-contact / SME
  • Problem solving skills with strong attention to detail and excellent analytical and communication skills
  • Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD
  • Solid experience with AWS S3

Preferred Qualifications:

  • Demonstrated ability with cloud infrastructure technologies, including Terraform.
  • Understanding of householding algorithms and third-party data enrichment tools.

#Disneytech


The hiring range for this position in San Francisco is $155,400 - $208,400 per year, Santa Monica, CA is $141,900 - $190,300 per year and Seattle is $148,700 - $199,400 per year. 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.

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