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Sport Analyst Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

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

Data Engineer

San Francisco, CA · On-site +1

$145K/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

Tennis Data Scientist

San Francisco, CA · On-site

$190K/yr

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 ...

Uofl

Experience teaching applied statistics, data analysis, and sport analytics within sport science or human performance contexts is especially valued. We seek to strengthen the department with ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

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

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

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

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

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 ...

Leland

Sports Management Coach

$17 - $22/hr

... sports analytics, sports law, and brand development. Coaches also help students build these capabilities through consistent, practical skill building, and support the career side of the journey ...

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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 Aug 15, 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.

How do you get a job as a sport analyst?

To become a sport analyst, candidates typically need a bachelor's degree in sports management, journalism, or a related field, along with strong analytical skills and knowledge of sports statistics. Gaining experience through internships, building a portfolio of analysis work, and proficiency with data tools like Excel or sports analytics software can improve job prospects.

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

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.
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Sport Analyst jobs near you
Infographic showing various Sport Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, and 7% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

NFL Data Scientist

Swish Analytics

San Francisco, CA

$140K/yr

Full-time

Re-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.

Job Description

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.

Duties:

  • Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.

  • Develop contextualized feature sets using sports specific domain knowledge.

  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.

  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.

  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.

  • Adhere to software engineering best practices and contribute to shared code repositories.

  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:

  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area

  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years

  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods

  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting

  • Experience with relational SQL & Python

  • Experience with source control tools such as GitHub and related CI/CD processes

  • Experience working in AWS environments etc

  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions

  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000

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.