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Football Data Analyst Jobs in California (NOW HIRING)

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

TOGETHXR

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the ... football philosophy and supports the broader game model. • Champion ongoing research and ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Score Sports

Demand Planning Analyst

Irvine, CA · On-site

$75K - $95K/yr

... of sports including flag football, basketball, volleyball, baseball, and more. SCORE has ... This role will play a critical part in driving data-informed decisions to ensure optimal product ...

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Football Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do football data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for football data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a football data analyst?

A Football Data Analyst collects, processes, and interprets football-related data to provide insights for teams, coaches, and scouts. They use statistical analysis, tracking data, and performance metrics to evaluate players, tactics, and opposition strategies. Their work helps improve team performance, recruitment decisions, and match preparation. Analysts often use software, coding languages, and data visualization tools to present findings effectively.

What are some typical daily responsibilities of a football data analyst?

A Football Data Analyst typically spends their day collecting and processing match or training data, conducting statistical analyses to identify trends, and preparing reports or visualizations for coaches and management. They often attend team meetings to discuss insights and collaborate closely with coaching staff and other performance professionals. The role also involves staying updated on the latest analytical tools and methods, ensuring the team leverages cutting-edge techniques. Effective communication and adaptability are essential, as priorities can shift quickly based on match schedules or management needs.

What are the key skills and qualifications needed to thrive in the football data analyst position, and why are they important?

To thrive as a Football Data Analyst, you need strong statistical analysis skills, expertise in football tactics, and usually a degree in mathematics, statistics, sports science, or a related field. Proficiency in data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or Wyscout is commonly required, along with certifications in data analysis or relevant software. Attention to detail, effective communication, and teamwork are vital soft skills for conveying insights to coaches and collaborating with diverse teams. These skills enable the analyst to accurately interpret data, support performance improvements, and drive informed decision-making within a competitive sports environment.

Do NFL teams hire football data analysts?

Yes, NFL teams often hire football data analysts to evaluate player performance, develop strategies, and improve team decision-making using advanced statistics and data analysis tools. These roles typically require strong analytical skills, knowledge of football, and proficiency with data software such as SQL or Python.

How to become a football data analyst?

To become a football data analyst, you typically need a strong background in statistics, data analysis, or sports science, often gained through a relevant degree or certification. Proficiency in data tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of football tactics and metrics. Gaining experience through internships or entry-level roles in sports analytics can also help build a career in this field.

What does a football data analyst do in football?

A football data analyst collects, analyzes, and interprets match and player data to provide insights that can improve team performance and strategy. They use statistical tools and software to identify patterns, evaluate player metrics, and support decision-making for coaching staff and management.

What are the most commonly searched types of Football Data Analyst jobs in California?

The most popular types of Football Data Analyst jobs in California are:

What are popular job titles related to Football Data Analyst jobs in California?

For Football Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Football Data Analyst jobs in California look for?

The top searched job categories for Football Data Analyst jobs in California are:

What cities in California are hiring for Football Data Analyst jobs?

Cities in California with the most Football Data Analyst job openings:

Football Data Analyst jobs near you
Infographic showing various Football Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Head of Data & Analytics

San Jose, CA • On-site

Bay Football Club
See more jobs at Bay Football Clubexternal

$140K/yr

Full-time

Re-posted 28 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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