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Sports 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 ...

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 · 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 ...

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 ...

Novig

Junior Sports Trader

New York, NY · On-site

$60K - $90K/yr

Junior Sports Trader $60k - $90k • meaningful equity About Novig Novig is building America's #1 ... Analyze user behavior and market dynamics to inform segmentation, adjust pricing, and manage ...

Apple

Sports Strategy Analyst

Culver City, CA · On-site

We are seeking an experienced data driven professional to support the planning, financial analysis, and execution of Apple's sports rights including Formula 1, Major League Soccer, and Major League ...

Apple

Sports Strategy Analyst

Culver City, CA

$110K - $168K/yr

We are seeking an experienced data driven professional to support the planning, financial analysis, and execution of Apple's sports rights including Formula 1, Major League Soccer, and Major League ...

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Sports Analyst information

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$73.3K

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How much do sports analyst jobs pay per year?

As of Jun 7, 2026, the average yearly pay for sports 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.

What does a sports analyst do?

A sports analyst studies and interprets sports-related data to provide insights, predictions, and commentary. They may review game footage, analyze player statistics, and evaluate team performance to help coaches, teams, media outlets, or fans make informed decisions. Sports analysts often appear on television, write articles, or work behind the scenes for sports organizations, using their expertise to break down complex information into understandable insights.

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 a strong grasp of sports statistics, analytical thinking, and in-depth knowledge of the games and leagues you cover, often supported by a degree in sports management, statistics, or journalism. Proficiency with data analysis software (like Excel, R, or Python), sports analytics platforms, and broadcast or publishing tools is typically expected. Excellent communication, attention to detail, and the ability to interpret and present complex data in an engaging manner are vital soft skills. These competencies enable accurate insights, compelling storytelling, and informed decision-making for audiences and organizations.

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

AspectSports AnalystSports Data Analyst
Required CredentialsBachelor's degree in sports management, marketing, or related field; knowledge of sports industryBachelor's degree in statistics, data science, or related field; proficiency in data analysis tools
Work EnvironmentSports teams, media outlets, or sports organizationsData-focused roles within sports organizations, analytics firms, or media companies
Employer & Industry UsageUsed by sports teams, broadcasters, and marketing agencies to analyze team performance and audience engagementUsed by sports organizations and analytics companies to interpret large datasets and generate insights

While both roles involve analyzing sports-related information, Sports Analysts focus on evaluating team performance, game strategies, and providing insights for media or coaching. Sports Data Analysts specialize in interpreting large datasets, creating models, and supporting decision-making through data-driven insights. Both roles require analytical skills, but their focus and tools differ.

What Is the Job of a Sports Analyst?

A sports analyst is a professional with a background in journalism, analytics, or a particular sport. As a sports analyst, your duties vary depending on the medium and employer. You may provide commentary and expert insight during the broadcast of a sporting event, work with data and statistical modeling to find relevant sports information and trends, or interview athletes and coaches before a sporting event. Your responsibilities may also involve traveling to the site of the game to provide live analysis during a broadcast.

What are some common challenges Sports Analysts face when working with large datasets and live game statistics?

Sports Analysts often encounter challenges such as managing real-time data influx during live games, ensuring the accuracy of rapidly changing statistics, and integrating data from multiple sources. Balancing speed and precision is crucial, as quick insights are valuable but must remain reliable. Collaborating closely with coaches, broadcasters, and technical teams helps ensure that analyses are actionable and tailored to the needs of various stakeholders.
More about Sports Analyst jobs
What cities are hiring for Sports Analyst jobs? Cities with the most Sports Analyst job openings:
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Who are the top companies hiring for Sports Analyst jobs? The top employers for Sports Analyst jobs are:
What states have the most Sports Analyst jobs? States with the most job openings for Sports Analyst jobs include:
What job categories do people searching Sports Analyst jobs look for? The top searched job categories for Sports Analyst jobs are:
What are popular job titles related to Sports Analyst jobs? For Sports Analyst jobs, the most frequently searched job titles are:
Sports Analyst jobs near you
Infographic showing various Sports Analyst job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% 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 10 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.