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Data Analytics Sports Jobs (NOW HIRING)

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ... Collaborate with sports science, medical and coaching staff to connect workload, wellness, and ...

AEG

Product Manager, Data & Analytics

Atlanta, GA · On-site

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... Partner with Analytics Engineering on data mart and stable view design. Ensure requirements and UAT ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $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 ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $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 ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $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 ...

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All JobsData Analytics Sports Jobs

Data Analytics Sports information

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$23.5K

$98.2K

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How much do data analytics sports jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data analytics sports in the United States is $98,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $131,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analytics Sports professional, you need strong statistical analysis skills, a background in mathematics or data science, and familiarity with sports industry metrics. Proficiency with data visualization tools (like Tableau), programming languages (such as Python or R), and sports analytics software is typically required. Analytical thinking, attention to detail, and strong communication skills set top performers apart in this field. These skills are crucial for transforming complex data into actionable insights that enhance team performance and inform strategic sports decisions.

What are some common challenges faced by data analysts in the sports industry, and how can they be addressed?

Data analysts in the sports industry often encounter challenges such as integrating disparate data sources (e.g., player stats, wearable tech, and video analysis), ensuring data accuracy, and translating findings into actionable insights for coaches and management. Addressing these challenges requires strong technical skills, effective communication, and a collaborative approach with IT, coaching staff, and sports scientists. Staying updated with the latest analytics tools and maintaining clear documentation can also help streamline workflows and improve decision-making across teams.

What is the difference between Data Analytics Sports vs Data Analysis in Finance?

AspectData Analytics SportsData Analysis in Finance
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; certifications like SAS or TableauBachelor's in Finance, Economics, or related fields; certifications like CFA, CPA
Work EnvironmentSports teams, leagues, sports analytics firms, media companiesBanks, investment firms, financial institutions, corporate finance departments
Employer & Industry UsageUsed to improve team performance, player stats, fan engagementUsed for risk assessment, investment decisions, financial forecasting

Data Analytics Sports focuses on analyzing sports-related data to enhance team performance and fan engagement, while Data Analysis in Finance centers on financial data to inform investment and business decisions. Both roles require strong analytical skills and data tools but serve different industries and objectives.

What are data analytics sports jobs?

Data analytics sports jobs involve using data analysis techniques to help sports teams, organizations, or media companies make better decisions. Professionals in this field collect, process, and interpret data related to player performance, game strategy, fan engagement, and business operations. They use statistical tools, programming languages, and visualization software to turn raw data into actionable insights. These roles are vital for gaining a competitive edge, optimizing team performance, and enhancing fan experiences in the sports industry.
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Data Analytics Sports jobs near you

Head of Data & Analytics

Bay Football Club

San Jose, CA • On-site

$140K/yr

Full-time

Posted 20 days ago

Job description

Background
Bay FC is the first NWSL team in the Bay Area. Co-founded by four U.S. Women's National Team legends-Brandi Chastain, Aly Wagner, Danielle Slaton, and Leslie Osborne-in partnership with global investment firm Sixth Street, Bay FC is changing the face of women's soccer as we know it. Beginning play in the 2024 season, we are building a squad that will play the beautiful game with power, passion, energy, and creativity.
Bay FC is a team that defies convention and transcends culture. We are proud to represent the Bay Area with its tapestry of different ethnicities, languages, climates, and ideas. Our team will be a uniting force, building a culture of belonging and shared pride. We will become a beacon of hope and connection, welcoming and embracing all fans. Our stadium will be a home for people of all backgrounds and identities. We will be the bridge that unites the Bay's diverse communities. Through our actions and our love of the game, we will inspire and improve the lives of others.
While our community is our foundation, our love of football is our reason for being. We have the fire to be the best, and we will show up on the field every day with intensity, competitiveness, passion, and a drive to win.
Position Summary
The Head of Data & Analytics will lead the execution and adoption of Bay FC's data strategy, working closely with Bay Collective (a part of the Sixth Street Family) as a part of our global approach to data. This leader will be responsible for overseeing the use, quality and application of information on the sporting side of the club. This individual will build and guide a cohesive analytics function that serves coaching, medical & performance, football operations, and recruitment - ensuring the systems, processes and talent needed to make data a genuine competitive advantage across sporting operations.
The successful candidate will work closely with the Global Director of Data & Technology at Bay Collective, to ensure the technical architecture that powers Bay FC's insights ecosystem operates effectively, enabling clean, connected, and reliable data flows across departments. At club level, they will collaborate with technical and sporting leadership to translate complex information into clear, actionable insights that directly enhance on-field performance and player development.
Role Responsibilities
Data Strategy & Leadership
  • Execute the club's data and analytics strategy, aligning with sporting and organizational objectives.
  • Partner with the Sporting Director, Head Coach, and global leadership to define and prioritize key data initiatives, aligning resources allocation with the club's most critical performance and operational needs.
  • Oversee the use, governance and quality of data across soccer operations and promote data-informed decision-making ensuring privacy, security, and ethical use of information.
  • Standardize data structures and processes in alignment with Bay Collective to enhance cross-club comparability, shared insights, and multi-club decision-making.
  • Implement sustainable data systems, documentation standards, and workflows to ensure analytics processes, models, and insights remain a long-term legacy for the club.

Infrastructure & Systems
  • Take operational ownership of the Club's data ecosystem, ensuring pipelines, databases, and automated workflows are effectively implemented, maintained and utilized in coordination with Bay Collective.
  • Ensure seamless flow and integration of information across GPS, biometric, wellness, medical, scheduling and match data.
  • Work closely Bay Collective's Global Head of Data & Technology to ensure systems are operating and communicating effectively to and from the MCO ecosystem.
  • Ensure all analytical work reinforces the Club's football philosophy and supports the broader game model.
  • Champion ongoing research and development, positioning the organization as a leader in applied sports analytics.

Performance & Football Intelligence
  • Translate raw match, event, and tracking data into meaningful performance metrics, visualizations, and insights to support the coaching staff and performance team with pre-match, in-match, and post-match analytical reporting.
  • Support the application of predictive tools and risk models developed in close partnership with the performance and medical departments.
  • Collaborate with sports science, medical and coaching staff to connect workload, wellness, and performance outcomes, incorporating key analytics insights into Individual Development Plans (IDPs) to support holistic player development.
  • Support the club's recruitment by applying and contextualizing player evaluation models, performance benchmarks, and predictive analytics aligned with Bay FC's playing philosophy.

Reporting & Communication
  • Partner with IT and operations to ensure data compliance, infrastructure integrity, and scalability.
  • Lead education and adoption of data-driven practices across the club, sharing insights and feedback with Bay Collective to support the ongoing development of data solutions.
  • Collaborate with marketing, fan engagement, and business operations teams as needed for organization-wide analytics initiatives.
  • Stay responsive to time-sensitive requests from technical leadership and maintain visibility across club-wide communications.

Innovation & Research
  • Stay current on emerging data technologies, machine learning methods, and soccer analytics trends.
  • Support the application and evaluation of new data solutions and technologies within the club environment.
  • Represent Bay FC in data-related partnerships, research collaborations, and industry conferences, strengthening relationships with league vendors and research institutions to keep the club at the forefront of analytics innovation.

Other Duties
  • Maintain accurate reporting, documentation, and data governance for club and league compliance.
  • Other duties as assigned

The Bay Way
  • Team-first approach that prioritizes collective success and contributes to a high-performance culture
  • Leads with respect, fostering collaborative and inclusive environments
  • Demonstrates strong self-awareness, seeks feedback and adapts constructively
  • Builds trust and is sought out for credibility and reliability
  • Shows resilience and persistence in building strong networks and relationships

Requirements
  • Passionate about advancing women's sports and leveraging data to elevate performance, wellbeing, and recruitment across players and teams.
  • 5-7+ years of experience in data science, performance analysis, or analytics roles within professional football or elite sports.
  • Hands-on background with player monitoring technologies.
  • Familiarity with football specific data platforms (e.g. Statsbomb, Skillcorner) and video tools (Hudl, Wyscout, Sportscode).
  • Prior success scaling data systems, pipelines and reporting infrastructure in a sporting environment.
  • Fluency in Python, R/Shiny, and SQL.
  • Advanced proficiency in Tableau or a comparable visualization platform.
  • Proven leadership experience overseeing data teams or analytics functions in a high-performance sporting environment.
  • Excellent communication skills, with the ability to translate complex data into clear insights for technical and non-technical audiences.
  • Ability to work non-traditional hours, including evenings, weekends, holidays, and travel with the team.

Compensation:
The anticipated salary for this role starts at $140,000. Actual starting pay may vary based on a range of factors which can include experience, skills, and scope.
Bay FC is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation, or any other characteristics protected by applicable federal, state or local laws.

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