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Sport Analytics Jobs (NOW HIRING)

Nike

Senior Sport Sourcing Analyst

Beaverton, OR · On-site

WHO YOU'LL WORK WITH In this role, the Senior Sport Sourcing Analyst is part of the Apparel Sport Sourcing team, reporting to the Running / Training / NikeSKIMS Apparel Sport Sourcing Director. The ...

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$64.5K

$125.3K

$179K

How much do sport analytics jobs pay per year?

As of Jun 24, 2026, the average yearly pay for sport analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What are careers in sports analytics?

Careers in sports analytics involve analyzing athletic performance, game data, and player statistics to inform team strategies and decision-making. Professionals typically use statistical software, data visualization tools, and possess skills in programming, statistics, and sports knowledge. Common roles include sports analyst, data scientist, and performance analyst, often requiring a background in data analysis or sports management.

What is sport analytics?

Sport analytics is the process of collecting, analyzing, and interpreting data related to sports performance, strategies, and outcomes. It involves using statistical and mathematical methods to gain insights that can help teams, coaches, and athletes make informed decisions. Sport analytics can be applied to player performance, injury prevention, game tactics, and business aspects such as fan engagement. The field is growing rapidly with advancements in technology and data collection tools, making it an essential part of modern sports organizations.

What does sports analytics do?

Sports analytics involves collecting and analyzing data related to athletic performance, game strategies, and player statistics to inform decision-making. Professionals in this field use statistical tools and software to evaluate team and player performance, often supporting coaching, scouting, and management decisions.

What is the highest salary for a sports analyst?

The highest salaries for sports analysts can exceed $100,000 annually, especially for those with extensive experience, advanced analytics skills, and work with major professional teams or media organizations. Senior or specialized sports analysts in top organizations may earn even higher compensation, including bonuses and benefits.

What are some common challenges faced by professionals working in sport analytics, and how can they be addressed?

Professionals in sport analytics often face challenges such as integrating data from multiple sources, ensuring data accuracy, and effectively communicating insights to coaches and athletes. Navigating large datasets and translating technical findings into actionable strategies for non-technical team members requires strong collaboration and communication skills. Staying updated with evolving technologies and analytical methods is also crucial. Addressing these challenges typically involves ongoing professional development, adopting robust data management practices, and fostering strong relationships with other departments within the organization.

Do sports analysts make good money?

Sports analysts' salaries vary based on experience, employer, and location, with many earning between $50,000 and $100,000 annually. Experienced analysts working for major sports networks or teams can earn higher salaries, especially with specialized skills in data analysis and familiarity with tools like SQL or Python.

What are the key skills and qualifications needed to thrive as a Sports Analyst, and why are they important?

To thrive as a Sports Analyst, you need strong statistical analysis, data interpretation, and a solid understanding of sports concepts, often supported by a degree in statistics, mathematics, or sports management. Familiarity with analytics tools like R, Python, SQL, and sports-specific software is typically required, as are certifications in data analytics. Critical thinking, effective communication, and attention to detail are standout soft skills in this role. These skills are vital for turning complex data into actionable insights that drive team performance and strategic decision-making.

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

AspectSport AnalyticsSports Data Analyst
Required CredentialsDegree in Sports Management, Statistics, or related fields; often certifications in data analysisSimilar credentials; degrees in Statistics, Data Science, or related fields; certifications in data tools
Work EnvironmentSports teams, leagues, or organizations; focus on performance and strategySports organizations, media, or analytics firms; focus on data interpretation and reporting
Employer & Industry UsageUsed by sports teams, leagues, and analytics companies for strategic decisionsEmployed by sports organizations, media outlets, and analytics firms for insights and reporting

Sport Analytics and Sports Data Analyst roles share similar educational backgrounds and work environments, often overlapping in skills and employer types. However, Sport Analytics typically emphasizes strategic decision-making and performance analysis, while Sports Data Analysts focus more on data collection, interpretation, and reporting. Both roles are vital in the sports industry for enhancing team performance and audience engagement.

More about Sport Analytics jobs
What cities are hiring for Sport Analytics jobs? Cities with the most Sport Analytics job openings:
What states have the most Sport Analytics jobs? States with the most job openings for Sport Analytics jobs include:
What job categories do people searching Sport Analytics jobs look for? The top searched job categories for Sport Analytics jobs are:
Sport Analytics jobs near you
Infographic showing various Sport Analytics job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 71% Full Time, 15% Part Time, 3% Temporary, and 10% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
Director of Project Management

Director of Project Management

Swish Analytics

San Francisco, CA • On-site, Remote

$190K/yr

Full-time

Posted 7 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
This position is 100% Remote
We are looking for a Director of Project Management to build the operational backbone that makes coordinated delivery possible across Swish. This is a build role, not a maintenance role. You will own how work gets planned, prioritized, tracked, and delivered across the company, and you will lead the cross-functional programs that no single department can deliver alone.
This is a senior leadership hire. You will lead our PMO, set the standard for the function, and partner directly with founders and department heads. Success is measured by whether the organization executes against its goals with predictability and visibility - not by process for its own sake.
What you'll own
  • Cross-functional program leadership - Direct ownership of the programs that span Trading, Engineering, Data Science, and Data Engineering. You are the single accountable owner for delivery across team boundaries on these programs, including dependencies, sequencing, risk, and the tradeoff decisions when priorities collide.
  • The operating system for delivery - Own and evolve the frameworks that let the company plan and execute coherently - intake, prioritization, change management, project lifecycle, definition of done, and release cadence. The goal is a system the teams internalize and run themselves, not a process the PMO has to police.
  • Delivery coordination and predictability - Establish the cadence, instrumentation, and reporting that make work visible from company strategy down to individual execution. Surface risks early. Make reprioritization a deliberate, logged decision rather than a silent one.
  • Delivery maturity across the org - Teams across Swish operate at different levels of delivery discipline. You will set the bar, point to what already works well internally, and partner with department heads to raise the standard everywhere - through influence and demonstrated value rather than mandate.
  • Team leadership - Lead, develop, and grow the PMO. Set the behavioral and craft bar for the function, coach toward a standard, calibrate across the team, and build the bench.

What we're looking for:
  • Built a PMO before - You have stood up or substantially rebuilt a program management function - not just run projects inside someone else's system. You know the difference between coordinating work and designing the system that coordinates work.
  • Cross-functional program depth - You have owned large programs that spanned multiple engineering and technical organizations, with real accountability for delivery across boundaries.
  • Builds for adoption - You think like a product person building something users will actually use, not a policy author issuing mandates. You understand that the simplest process that gets adopted beats the comprehensive one that gets routed around.
  • Operates with founders and executives - You can hold your own as a peer with department heads and founders, bring the value and capacity cases to prioritization decisions, and influence without formal authority over the teams you coordinate.
  • Sound judgment under pressure - You escalate cleanly rather than absorbing blockers, navigate competing priorities and organizational friction with maturity, and know which battles are worth fighting.

What success looks like
  • The company's most important cross-functional programs have a single accountable delivery owner and a clear, visible plan tied to company goals.
  • Cross-functional work no longer falls through the seams between teams.
  • Work is visible from strategy to execution, and reprioritization is a logged, deliberate event.
  • Teams run the delivery system themselves because it makes their work easier, not because they're forced to.
  • The PMO is a respected partner to the founders and department heads, not a bureaucratic tax.

Preferred:
  • Experience in sports, sports betting, fintech, or real-time data environments
  • Background scaling a program management team through a period of rapid company change
  • Familiarity with the Atlassian stack (Jira, Confluence) and lightweight automation

Salary: Base salary starting at $190,000 +
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Business Operations Locations San Francisco, CA - Remote Remote status Fully Remote

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