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Sport Data Analyst Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

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 ...

AEG

Data Analyst

Riverside, MO · On-site

Data Infrastructure & Systems Development * Build and maintain scalable data systems and ... Collaborate with sports science and medical staff to analyze workload, readiness, and performance ...

Customer Operations

Data Analyst

Stamford, CT · Hybrid

As a Data Analyst on Spectrum's Customer Service Reliability team, you'll transform complex data ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Corporate-CCL

Data Analyst

Charlotte, NC · On-site

Conduct data analysis in support of a variety of analytic solutions * Capture, develop, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

The Walt Disney Company

Data Analyst

Glendale, CA

$97K - $130K/yr

... sports, news, and entertainment content, across all media platforms. SUMMARY As a Data Analyst, you ... will be responsible for assisting the Digital Ad Sales Business Intelligence Product group, within ...

The Walt Disney Company

Data Analyst

New York, NY

$97K - $130K/yr

... sports, news, and entertainment content, across all media platforms. SUMMARY As a Data Analyst, you ... will be responsible for assisting the Digital Ad Sales Business Intelligence Product group, within ...

Foot Locker

Sr. Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

At Foot Locker, we're rooted in sport, powered by style, and driven by the communities that move ... Ability to lead a group of Data Analysts, Data Scientists, Data Engineers and BI Engineers.

AEG

Sr Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

AEG is a leader in sports and live entertainment, hosting over 160 million guests annually. The Sr Data Analyst will analyze customer behavior and engagement, visualize key metrics, and collaborate ...

Moss

Safety Data Analyst

Fort Lauderdale, FL

... sports. Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of ... POSITION SCOPE AND ORGANIZATIONAL IMPACT Moss' Data Analyst for Enterprise Safety group supports ...

Moss

Safety Data Analyst

Fort Lauderdale, FL · On-site

... sports. Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of ... POSITION SCOPE AND ORGANIZATIONAL IMPACT Moss' Data Analyst for Enterprise Safety group supports ...

AEG

Sr Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports ... Job Summary The Sr Data Analyst must have a honed skill for choosing the right lens through which ...

AEG Presents

Sr Data Analyst

Los Angeles, CA

$92K - $116K/yr

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports ... Job Summary The Sr Data Analyst must have a honed skill for choosing the right lens through which ...

AEG Worldwide

Sr Data Analyst

Los Angeles, CA

$92K - $116K/yr

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports ... Job Summary The Sr Data Analyst must have a honed skill for choosing the right lens through which ...

AEG Worldwide

Sr Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports ... Job Summary The Sr Data Analyst must have a honed skill for choosing the right lens through which ...

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Sport Data Analyst information

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$34K

$82.6K

$136K

How much do sport data analyst jobs pay per year?

As of Jun 8, 2026, the average yearly pay for sport 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 does a Sport Data Analyst do?

A Sport Data Analyst collects, processes, and interprets data related to athletic performance, team statistics, and other aspects of sports. They use statistical techniques and software tools to analyze game outcomes, player metrics, and strategies. Their insights help coaches, teams, and organizations make informed decisions about training, recruitment, and game tactics. Sport Data Analysts also create visualizations and reports to communicate their findings to stakeholders, improving overall team performance and competitive advantage.

What Does a Sports 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, and why are they important?

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.

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 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.
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Sport Data Analyst jobs near you
Infographic showing various Sport Data Analyst job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, and 10% Part Time. Highlights an 99% Physical, and 1% 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

Full-time

Posted 12 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 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.