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Sports Analytics Manager Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$75K/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

$75K/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

$65K/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 · Remote

$65K/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 ...

BetMGM

Senior Sports Analyst

$92K - $120K/yr

Efficiently manage and deliver multiple short- and long-term projects at pace * Lead the analytics strategy within the Sports Analytics team in collaboration with the Sports SLT * Present analytical ...

FanDuel

Advanced Analytics Manager

New York, NY · On-site +1

As the Advanced Analytics Manager, you will guide your team's deep expertise in fraud and payments ... Knowledge of sports betting and online gambling a huge plus ABOUT FANDUEL FanDuel Group is the ...

FanDuel

Advanced Analytics Manager

New York, NY · On-site

As the Advanced Analytics Manager, you will guide your team's deep expertise in fraud and payments ... Knowledge of sports betting and online gambling a huge plus ABOUT FANDUEL FanDuel Group is the ...

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Sports Analytics Manager information

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$98K

How much do sports analytics manager jobs pay per year?

As of Aug 31, 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 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 are the key skills and qualifications needed to thrive as a sports analytics manager?

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.

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.

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What are the most commonly searched types of Sports Analytics jobs?

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Sports Analytics Manager jobs near you
Infographic showing various Sports Analytics Manager job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $55,952 per year, or $26.9 per hour.

Analytics Manager

ExlService Holdings, Inc.

Jersey City, NJ

Full-time

Posted 10 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

138th of 499 rated business services

Job description

Position Summary 

EXL is looking for an experienced Analytics Manager with a sports background who will play a crucial role in providing analytics support to a client within our Sports, Media and Entertainment practice.  

The primary responsibility of this role is to partner closely with business and club stakeholders to identify high-value opportunities where data, analytics, and advanced insights can drive business outcomes. This role sits at the intersection of business strategy, consulting, and analytics, requiring strong business acumen and the ability to translate ambiguous business problems into actionable analytics opportunities. You will work with a dynamic team and will have true ownership and impact on developing analytics solutions and data products for the stakeholders.  

The ideal candidate brings a strong understanding of sports club business operations and fan lifecycle, combined with the ability to engage with senior stakeholders, understanding their strategic priorities and challenges, developing analytics-led solutions, and working closely with data science and analytics teams to deliver measurable value to clubs. 

If you're a passionate sports fan who understands both the emotional and commercial dynamics of the industry - and you thrive in fast-paced, collaborative environments, we'd love to connect.  

Required Skills  

  • 5+ years of experience in analytics, business strategy, consulting, or a related field, with meaningful experience working directly with a professional sports club/team or league. 

  • Demonstrated experience working directly with business stakeholders to identify and solve business problems. 

  • Strong business acumen with the ability to understand business objectives and translate them into analytics opportunities 

  • Strong SQL skills and hands-on experience working with large datasets. 

  • Experience with Python/Pandas or a similar analytics programming language Strong presentation, storytelling, and stakeholder management skills. 

  • Ability to operate independently in ambiguous environments and proactively identify opportunities. 

Responsibilities: 

Identify and shape analytics opportunities with league and club stakeholders 

  • Build trusted relationships with club and league stakeholders and understand their strategic priorities, business challenges, and opportunities. 

  • Proactively identify areas where data and analytics can help clubs grow their fan base, increase revenue, and deepen fan engagement. 

  • Translate business problems into well-defined analytics opportunities, hypotheses, and use cases 

  • Help prioritize opportunities based on business impact, data availability, scalability, and feasibility 

Translate business needs into analytics solutions 

  • Partner with data scientists and analysts to translate business questions into analytical requirements, hypotheses, and solutions. 

  • Define analytical approaches, success metrics, required data, and expected business outcomes. 

  • Ensure analytics products and models are designed with the end user and business decision in mind. 

Perform hands-on analytics and develop actionable insights 

  • Use SQL extensively to extract, transform, analyze, and validate data. 

  • Perform exploratory and diagnostic analysis to uncover trends, patterns, opportunities, and business drivers. 

  • Work with large and complex datasets and combine information from multiple data sources. 

  • Use Python/Pandas and other analytical tools for deeper analysis, modeling, and visualization where appropriate. 

  • Turn analytical findings into clear, practical recommendations that clubs can act upon 

  • Maintain technical depth to independently investigate data, validate analyses, and contribute directly to analytical deliverables. 

Communicate with stakeholders and support delivery 

  • Present complex analytical concepts and findings in a simple, compelling, business-oriented manner. 

  • Build executive-ready presentations and narratives that connect data to business outcomes. 

  • Review analytical approaches, outputs, and recommendations to ensure quality and business relevance 

What ExlService Holdings employees say

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