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Sports Data Analyst Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

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 ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site

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 ...

Pentasia

MLB Data Entry Gig (Miami Marlins)

Miami, FL · On-site

$15.25 - $19.75/hr

Sports Data & Analytics Are you a baseball fan based near Miami, FL? Our client is hiring sports enthusiasts to attend Miami baseball games in Miami to input real-time play-by-play data using their ...

Recruit Monitor

Data Analyst

Rochester, NY

SQL Data Analyst Endeavor Streaming, part of Endeavor, is building the worlds most advanced content distribution platform for Content Creators, Global Brands, TV Broadcasters and Sports Federations.

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview 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 ...

New

Genius Sports

AI Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

... sports analysis, automation, and insights. These systems use live and historical sports data, including tracking data, structured feeds, broadcast video, commentary, and text, to understand game ...

Genius Sports

AI Engineer

Los Angeles, CA

$123K - $148K/yr

... sports analysis, automation, and insights. These systems use live and historical sports data, including tracking data, structured feeds, broadcast video, commentary, and text, to understand game ...

Paramount

Sr Lead Product Manager

Fort Lauderdale, FL

$120K - $159K/yr

You will shape how real-time sports data moves from source systems into the fan experiences that ... Drive alignment across analytics, product, editorial, commercial, and operations teams to ensure ...

Paramount

Sr Lead Product Manager

Manhattan, NY

$139K - $183K/yr

You will shape how real-time sports data moves from source systems into the fan experiences that ... Drive alignment across analytics, product, editorial, commercial, and operations teams to ensure ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview 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 ...

New

Arsenault Inc

Data Analyst

San Antonio, TX · Hybrid

By combining, transforming and analyzing data, the team finds meaning in and improves the ... sports clubs, and social events. * Accelerate your career. Develop through our global training ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... sports division USA Sports, along with complementary digital assets including Fandango, Rotten ... This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ...

Paramount

Sr Lead Product Manager

Burbank, CA

$134K - $177K/yr

You will shape how real-time sports data moves from source systems into the fan experiences that ... Drive alignment across analytics, product, editorial, commercial, and operations teams to ensure ...

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Sports Data Analyst information

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$34K

$82.6K

$136K

How much do sports data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for sports data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Sports Data Analyst, you need strong statistical analysis skills, a solid understanding of sports, and a relevant degree in mathematics, statistics, or data science. Proficiency in data analytics tools such as SQL, Python, R, and specialized sports analytics software is typically required. Attention to detail, critical thinking, and effective communication help analysts interpret data accurately and present insights clearly to coaches and management. These skills are crucial for transforming raw data into actionable strategies that enhance team performance and decision-making.

What are sports data analysts?

Sports data analysts are professionals who collect, process, and interpret data related to athletic performance, game strategies, and team statistics. They use statistical techniques and data visualization tools to provide insights that help coaches, teams, and organizations make informed decisions. Their work can influence player recruitment, game tactics, injury prevention, and overall team performance. Sports data analysts often work closely with coaches, scouts, and management to translate data into actionable strategies.

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

AspectSports Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or Master's in Statistics, Mathematics, or related fields; strong statistical background
Work EnvironmentSports teams, analytics firms, media companiesResearch institutions, sports organizations, consulting firms
Employer & Industry UsageUsed for performance analysis, game strategy, and fan engagementUsed for statistical modeling, historical data analysis, and research

While both roles involve working with sports data, Sports Data Analysts focus on interpreting data for performance insights and strategic decisions, often using modern analytics tools. Sports Statisticians primarily handle statistical modeling and historical data analysis, emphasizing research and accuracy. Both roles are essential in the sports industry but serve different functions based on their focus and skill sets.

How do Sports Data Analysts typically collaborate with coaches and athletes to impact team performance?

Sports Data Analysts work closely with coaches and athletes by translating complex data into actionable insights, such as identifying player strengths, weaknesses, and trends that can influence game strategies. Analysts often attend team meetings, review performance footage, and present their findings in clear, visual formats to ensure that coaching staff and athletes can easily apply the information. This collaborative approach helps teams make data-driven decisions on player selection, training focus, and in-game tactics, ultimately aiming to enhance overall team performance.
More about Sports Data Analyst jobs
What cities are hiring for Sports Data Analyst jobs? Cities with the most Sports Data Analyst job openings:
What are the most commonly searched types of Sports Data Analyst jobs? The most popular types of Sports Data Analyst jobs are:
Who are the top companies hiring for Sports Data Analyst jobs? The top employers for Sports Data Analyst jobs are:
What states have the most Sports Data Analyst jobs? States with the most job openings for Sports Data Analyst jobs include:
What job categories do people searching Sports Data Analyst jobs look for? The top searched job categories for Sports Data Analyst jobs are:
Sports Data Analyst jobs near you
Infographic showing various Sports Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

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

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 consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

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 Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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