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Senior Football Data Analytics Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

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 ...

AEG Presents

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball ...

AEG

Data Analytics, Intern

Jacksonville, FL · On-site

About the Jacksonville Jaguars The Jacksonville Jaguars are a professional football team and a ... The Data Analytics, Intern will support the Analytics team in improving data driven decisions ...

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 ...

PFF

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into ... Skills & Experience 5+ years of experience as a Senior Data Engineer, Database Architect, or ...

Bay FC

Head of Data & Analytics

San Francisco, CA · On-site

Head Of Data & Analytics Bay FC is the first NWSL team in the Bay Area. Co-founded by four U.S ... While our community is our foundation, our love of football is our reason for being. We have the ...

Bay FC

Head of Data & Analytics

San Francisco, CA · On-site

Head Of Data & Analytics Bay FC is the first NWSL team in the Bay Area. Co-founded by four U.S ... While our community is our foundation, our love of football is our reason for being. We have the ...

PamTen

Sr Data Analytics

Santa Clara, CA · On-site

Sr Data Analytics Location: Santa Clara, CA (Onsite Only) Client: Wipro Need 10-12+ Years of candidates only * Strong in advance SQL * Good at data analysis * Should be able to build BI dashboards ...

Capital One

Senior Manager, Data Analytics

Mclean, VA · On-site

Senior Manager, Data Analytics At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that ...

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Senior Football Data Analytics information

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$45K

$114.5K

$168.5K

How much do senior football data analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for senior football data analytics in the United States is $114,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $135,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Football Data Analyst, and why are they important?

To thrive as a Senior Football Data Analyst, you need advanced statistical analysis skills, a strong understanding of football tactics, and a relevant degree in data science, statistics, or a related field. Proficiency with programming languages like Python or R, experience using analytics platforms such as Tableau, and familiarity with football data providers (e.g., Opta or StatsBomb) are essential. Strong communication, critical thinking, and the ability to collaborate with coaching staff and technical teams are important soft skills. These abilities are crucial for translating complex data into actionable insights that drive tactical decisions and enhance team performance.

How does a Senior Football Data Analyst typically collaborate with coaching staff and scouts to influence team strategy?

A Senior Football Data Analyst works closely with coaches and scouts by translating complex data into actionable insights that inform tactical decisions and player development. They attend regular strategy meetings, present performance reports, and provide data-driven recommendations on opponents, player fitness, and recruitment. Effective communication skills are essential, as analysts must bridge the gap between technical analytics and practical on-field decisions. This collaborative approach ensures that analytical findings are integrated into the team's overall strategy and day-to-day preparation.

What is a Senior Football Data Analyst?

A Senior Football Data Analyst is a professional who leverages advanced statistical and analytical methods to interpret football data, helping teams make informed decisions on player performance, tactics, and recruitment. They work closely with coaches, scouts, and management to analyze match data, player statistics, and other metrics. Their insights support strategy development, talent identification, and optimization of team performance. Senior analysts often lead analytics teams and contribute to the development of data-driven decision-making processes within football organizations.

What is the difference between Senior Football Data Analytics vs Football Data Analyst?

AspectSenior Football Data AnalyticsFootball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Analytics, or related fields; experience preferredBachelor's degree in Data Science, Sports Management, or related fields; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within sports organizations or analytics firmsTypically focused on data collection, analysis, and reporting under supervision, often within sports teams or analytics companies
Employer & Industry UsageUsed by professional sports teams, analytics firms, and sports media companies for strategic decision-makingCommonly employed by sports teams, media outlets, and analytics agencies for performance analysis

In summary, Senior Football Data Analytics involves higher-level responsibilities, leadership, and strategic planning, requiring more experience and advanced skills compared to Football Data Analyst, which focuses on data processing and reporting at an entry or mid-level.

More about Senior Football Data Analytics jobs
What cities are hiring for Senior Football Data Analytics jobs? Cities with the most Senior Football Data Analytics job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Senior Football Data Analytics jobs? States with the most job openings for Senior Football Data Analytics jobs include:
What job categories do people searching Senior Football Data Analytics jobs look for? The top searched job categories for Senior Football Data Analytics jobs are:
Senior Football Data Analytics jobs near you
Infographic showing various Senior Football Data Analytics job openings in the United States as of May 2026, with employment types broken down into 25% As Needed, 13% Full Time, 13% Part Time, 13% Temporary, and 36% Contract. Highlights an 25% Physical, 21% Hybrid, and 54% Remote job distribution, with an average salary of $114,472 per year, or $55 per hour.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 4 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment.
Responsibilities
  • Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights.
  • Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities.
  • Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
  • Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
  • Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities.

Qualifications
Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience.
Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience)
Technical Skills:
  • Proficiency in Python and experience with Databricks.
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks.
  • Documented experience in football analytics, demonstrated through industry experience, public content, or
    significant independent projects. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos.
  • Solid foundation in statistical modeling and machine learning methodologies.
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets.
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

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