ZipRecruiter

Log In

1

Sports Analytics Manager 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 ... Strong Python data management programming skills * Data Visualization experience with a user ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Manage client risk, ensuring the highest margins on Swish products through +EV decisions * Manage ...

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 ... Manage client risk, ensuring the highest margins on Swish products through +EV decisions * Manage ...

Versant Media

... sports division USA Sports, along with complementary digital assets including Fandango, Rotten ... We're looking for a strategic and data-driven Product Analytics Manager to advance our streaming ...

Swish Analytics

Trading Analyst

San Francisco, CA

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... You will help manage and improve real-time pricing across a range of sports and market types, with ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... You will help manage and improve real-time pricing across a range of sports and market types, with ...

Jostens

Manager, Analytics & Insights

Minneapolis, MN · On-site

$95K - $115K/yr

MANAGER, ANALYTICS & INSIGHTS ABOUT YOU: The Manager, Analytics & Insights plays a pivotal role in ... sports teams and esteemed organizations across the country. Our iconic products - like yearbooks ...

Jostens

Manager, Analytics & Insights

Minneapolis, MN · Hybrid

$95K - $115K/yr

The Manager, Analytics amp; Insights plays a pivotal role in guiding strategic decisions by ... with beloved sports teams and esteemed organizations across the country. Our iconic products ...

next page

Showing results 1-20

All JobsSports Analytics Manager Jobs

Sports Analytics Manager information

See salary details

$19K

$56K

$98K

How much do sports analytics manager jobs pay per year?

As of Jun 29, 2026, the average yearly pay for sports analytics manager in the United States is $55,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is a sports analytics manager?

A sports analytics manager is responsible for analyzing data related to athletic performance, team strategies, and game statistics to inform decision-making. They often use statistical software and data visualization tools, and typically have a background in sports science, statistics, or data analysis. Their role supports coaching staff and management in improving team performance and strategic planning.

What does a Sports Analytics Manager do?

A Sports Analytics Manager is responsible for collecting, analyzing, and interpreting data related to athletic performance, player statistics, and team strategies. They use advanced statistical methods and software to help teams make informed decisions about player recruitment, game tactics, and injury prevention. By turning complex data into actionable insights, they play a crucial role in enhancing a team's competitive edge. These professionals often collaborate with coaches, scouts, and executives to implement data-driven strategies across the organization.

What is the highest salary for a sports analyst?

The highest salaries for sports analysts can exceed $100,000 annually, especially for those with extensive experience, advanced analytics skills, and work with major sports organizations or media companies. Senior roles or those with specialized expertise in data modeling and visualization tools tend to command higher compensation.

What is the highest paying job in sports management?

The highest paying jobs in sports management typically include executive roles such as Sports Franchise Owner, General Manager of a major team, or Chief Operating Officer, with salaries often exceeding several million dollars annually. These positions require extensive experience, leadership skills, and industry connections, and they often involve overseeing large organizations or investments in sports teams or leagues.

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

AspectSports Analytics ManagerSports Data Analyst
Required CredentialsBachelor's or Master's in Sports Management, Statistics, or related field; experience in analyticsBachelor's in Statistics, Data Science, or related field; strong analytical skills
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageSports teams, leagues, sports analytics firmsSports teams, media outlets, analytics companies
Search & Comparison IntentUnderstanding managerial roles in sports analyticsEntry to mid-level data analysis roles in sports

The Sports Analytics Manager oversees analytics teams and strategic initiatives, while the Sports Data Analyst focuses on data collection, analysis, and reporting. The manager role involves leadership and planning, whereas the analyst role emphasizes technical data work. Both roles require strong analytical skills and relevant education, but differ in scope and responsibilities.

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

To thrive as a Sports Analytics Manager, you need strong quantitative analysis skills, a background in statistics or data science, and typically a relevant degree such as in mathematics, statistics, or sports management. Familiarity with data analysis tools like R, Python, SQL, and sports analytics software is crucial, along with experience in data visualization platforms. Exceptional communication, problem-solving, and leadership abilities help translate complex data into actionable insights for coaches and executives. These skills drive data-informed decisions that enhance team performance, strategy, and competitive advantage.

What are some common challenges faced by a Sports Analytics Manager when integrating data-driven insights into coaching decisions?

A Sports Analytics Manager often encounters challenges when translating complex data insights into actionable recommendations that coaches and athletes can easily understand and trust. Bridging the gap between technical analytics and practical application requires strong communication skills and ongoing collaboration with coaching staff. Additionally, gaining buy-in from team members who may be skeptical about analytics, and ensuring data quality and relevance, are frequent hurdles. Overcoming these challenges involves building strong relationships, providing clear and compelling data visualizations, and demonstrating the tangible impact of analytics on team performance.

Will sports analytics be taken over by AI?

Sports Analytics Managers use AI and machine learning tools to analyze player performance, game strategies, and injury risks. While AI automates data processing and enhances insights, human expertise remains essential for interpreting results and making strategic decisions in sports analytics.
More about Sports Analytics Manager jobs
What cities are hiring for Sports Analytics Manager jobs? Cities with the most Sports Analytics Manager job openings:
What are the most commonly searched types of Sports Analytics jobs? The most popular types of Sports Analytics jobs are:
What states have the most Sports Analytics Manager jobs? States with the most job openings for Sports Analytics Manager jobs include:
What job categories do people searching Sports Analytics Manager jobs look for? The top searched job categories for Sports Analytics Manager jobs are:
Sports Analytics Manager jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA

Full-time

Posted 3 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.