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Sport 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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$70K/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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/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 ...

AEG

Sports Trading Analyst

San Francisco, CA · On-site

$70K - $120K/yr

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

Swish Analytics

Trading Analyst

San Francisco, CA

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

AEG

Trading Analyst

San Francisco, CA · On-site

$70K - $110K/yr

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

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Sport Analyst information

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$31K

$73.3K

$130K

How much do sport analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for sport analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

How do Sport Analysts typically collaborate with coaches and athletes to enhance team performance?

Sport Analysts work closely with coaches and athletes by providing data-driven insights that inform strategies and training plans. They analyze game footage, player statistics, and opponent trends, then present their findings in a clear and actionable manner during team meetings or one-on-one sessions. Effective communication and the ability to translate complex data into practical recommendations are essential, as is building trust with the coaching staff and players to ensure their insights are integrated into daily routines and game plans.

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

To thrive as a Sport Analyst, you need a strong background in sports science, statistics, and data analysis, often supported by a relevant degree in sports management, analytics, or a related field. Familiarity with data analytics software (such as R, Python, or Tableau), sports performance databases, and sometimes certifications in analytics are important technical requirements. Analytical thinking, effective communication, and attention to detail are crucial soft skills for conveying insights to coaches, athletes, and media. These skills and qualities ensure accurate performance evaluation, strategic decision-making, and impactful reporting in the competitive sports industry.

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

AspectSport AnalystSports Data Analyst
Required CredentialsBachelor's in Sports Management, Sports Science, or related fieldsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentSports teams, athletic organizations, sports mediaData firms, sports analytics companies, research institutions
Employer & Industry UsageUsed by sports teams, broadcasters, and leaguesUsed by analytics firms, sports organizations, and media outlets

While both roles involve analyzing sports-related data, a Sport Analyst focuses on evaluating team performance, player stats, and game strategies, often working directly with teams or media. A Sports Data Analyst emphasizes data collection, statistical analysis, and modeling, typically working behind the scenes in analytics firms or research settings. Understanding these distinctions helps in choosing the right career path or job search focus.

What does a Sport Analyst do?

A Sport Analyst is a professional who studies and interprets data related to sports performance, teams, and athletes. They use statistics, video analysis, and various software tools to provide insights that help coaches, players, and organizations make informed decisions. Their work can involve analyzing player performance, team strategies, and game outcomes to improve results. Sport Analysts are employed by sports teams, media companies, and analytics firms, and often contribute to scouting, player development, and tactical planning.
More about Sport Analyst jobs
What cities are hiring for Sport Analyst jobs? Cities with the most Sport Analyst job openings:
What are the most commonly searched types of Sport Analyst jobs? The most popular types of Sport Analyst jobs are:
What states have the most Sport Analyst jobs? States with the most job openings for Sport Analyst jobs include:
What job categories do people searching Sport Analyst jobs look for? The top searched job categories for Sport Analyst jobs are:
Sport Analyst jobs near you
Infographic showing various Sport Analyst job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $73,261 per year, or $35.2 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.