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Football Research Analyst Jobs (NOW HIRING)

San Francisco 49ers

Football AI Fellow

Santa Clara, CA · On-site

$57K - $78K/yr

... research and analysis by partners, potential partners and 3rd party sources to then evaluate ... San Francisco 49ers is an American football team that plays in the West Division of the National ...

LeatherBrainz

Blog Writer (NFL/Fantasy Football)

Produce well-researched and compelling blog posts on NFL-related topics, including game analysis, player profiles, team updates, and more. * Create engaging fantasy football content, including player ...

Swish Analytics

Sports Data Analyst

San Francisco, CA

Research accurate roster active statuses, primary positions and game participation * Validate data ... Deep knowledge of football, basketball or baseball; including roster compositions of professional ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Research accurate roster active statuses, primary positions and game participation * Validate data ... Deep knowledge of football, basketball or baseball; including roster compositions of professional ...

AEG

Data Analyst

Riverside, MO · On-site

Innovation & Research * Stay current on emerging trends in football analytics, machine learning, artificial intelligence, and data engineering. * Explore innovative analytical methods to improve ...

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

Strategically research & track verified news sources, being the first to uncover important news and ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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Football Research Analyst information

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How much do football research analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for football research analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Football Research Analyst position, and why are they important?

To thrive as a Football Research Analyst, you need strong analytical skills, a solid understanding of football tactics and statistics, and typically a degree in sports science, statistics, or a related field. Expertise in data analysis tools such as Excel, Python, R, and sports analytics platforms like Opta or Wyscout is highly valued. Excellent communication, teamwork, and attention to detail are crucial soft skills for effectively translating complex data into actionable insights. These skills and qualifications ensure accurate analysis, clear reporting, and valuable contributions to coaching and recruitment decisions.

What is a Football Research Analyst job?

A Football Research Analyst evaluates player and team performance using data analysis, statistical modeling, and scouting reports. They work with coaches, scouts, and front office staff to provide insights that inform strategy, player recruitment, and game planning. Analysts use various tools, including software for video analysis and performance metrics, to identify trends and competitive advantages. Strong analytical skills, a deep understanding of football, and proficiency in data visualization are key for success in this role.

What does a typical day look like for a Football Research Analyst?

A typical day for a Football Research Analyst involves collecting and analyzing match data, preparing detailed reports, and presenting findings to coaches, scouts, or management. You might spend time using data visualization tools to highlight player performance trends or develop scouting reports for upcoming opponents. Collaboration with other analysts and football staff is frequent to ensure insights are aligned with team objectives. The role can be fast-paced, especially in-season, but also offers opportunities to engage in strategic discussions that directly impact team success.

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Football Research Analyst jobs near you
Football AI Fellow

Football AI Fellow

San Francisco 49ers

Santa Clara, CA • On-site

$57K - $78K/yr

Full-time

Posted 6 days ago

Job description

Job Summary:
The San Francisco 49ers are offering a fellowship opportunity for a Football AI Fellow to utilize artificial intelligence and generative AI across multiple verticals within the Front Office. The role involves supporting decision-making, automating workflows, and enhancing operational intelligence through the development of AI tools and applications.
Responsibilities:
• Support the San Francisco Football Operations, including, but not limited to, Player Personnel, Football Technology, Coaching staff, Football R&D, and Football Administration with artificial intelligence tools and adoption
• Develop, build, improve, and deploy both new and existing AI-based applications and tools
• Generate well-documented code and participate in code review and version control processes following standardized documentation protocols
• Identify and pursue opportunities for club to incorporate artificial intelligence tools into workflows which will translate into on-field wins
• Use analytical methods to assist stakeholders in decision-making and automating of processes
• Integrate various streams of data including textual reports, tabular data, and video into easy-to-use tools, including scraping, cleaning, and maintain data ingestion
• Transform data from games and practice into actionable conclusions for scouting and coaching strategy
• Collaborate with and assist Scouting Dept with pro and college scouting processes
• Attend regular meetings with Player Personnel, Football Systems, R&D, and Coaching staff
• Stay apprised of research and analysis by partners, potential partners and 3rd party sources to then evaluate promising ideas for potential use by Club
• Work with external vendors supplying on-field performance metrics and statistics
• Create and identify useful metrics to improve analysis and projections
• Advise internal staff regarding new technological advances and other opportunities to further Club’s use of AI to make intelligent decisions
• Submit written reports, visualizations and summary data as needed
• Communicate results to management in a timely, clear, concise and efficient manner
• Other duties as assigned
Qualifications:
Required:
• Deep understanding of state-of-the-art AI tools, workflows, and generative AI to automate workflows and build tools to assist decision-making
• Ability to use logic and reasoning to evaluate information to determine how it should be best interpreted
• Ability to produce clear, concise work products from open ended assignments
• Ability to achieve planned objectives through completing relevant tasks and focus
• Ability to write clean, reproducible, and well-documented code
• Ability to create a relationship of trust and loyalty by delivering accessible, efficient, and reliable services and products for stakeholders
• Strong communication skills and ability to translate complex data into actionable insights
• Sees the value of assignments and seeks new & additional opportunities to contribute while maintaining focus on the task at hand; works efficiently, proactively and completes assignments in a timely fashion
• Has a strong desire to expand knowledge of the game of football, working in an NFL front office, and quantitative methods for analyzing sports data
• Introductory understanding of the game of football
• Expertise using cloud computing environments and associated programming languages (e.g. Python)
• Experience with Git, SQL and Microsoft Office Suite
• Experience with various statistical and machine learning techniques, as well as rationale for chosen methods
Preferred:
• Advanced degree (preferred) in Artificial Intelligence, Computer Science, Mathematics, Engineering, or a related quantitative field
Company:
San Francisco 49ers is an American football team that plays in the West Division of the National Football Conference in the NFL. Founded in 1946, the company is headquartered in Santa Clara, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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