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Executive Football Data Analyst Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Model Development and Analysis: Build and implement analytical football models, providing valuable ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay ...

Construction Execs

Data Analyst

Carrollton, GA

$85K - $115K/yr

Executive Assistant & Data Analyst Are you a detail-driven professional with a passion for data analysis and strategic support? Do you thrive in a fast-paced environment where your insights and ...

E Logic

Data Analyst

Washington, DC · On-site

The ideal candidate will have experience developing executive-level dashboards, performing financial and operational data analysis, and delivering actionable insights that support strategic decision ...

Vertiv Co

Data Analyst

Pelzer, SC

Key Responsibilities - Analyse, prepare data, and create reports for executive and project-level stakeholders - Prepare data, KPIs, and metrics for executive reports and presentations - Create ...

Vertiv Group Corp.

Data Analyst

Pelzer, SC · On-site

Key Responsibilities - Analyse, prepare data, and create reports for executive and project-level stakeholders - Prepare data, KPIs, and metrics for executive reports and presentations - Create ...

Hack The Box

Data Analyst

The core mission of the Data Analyst As a Data Analyst, you will be the analytical engine behind ... The team consists of account executives and collaborates closely with BDRs, Solutions Engineers ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key ... Develop dashboards, ad hoc reports, and executive-ready summaries of analytical findings

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Data Analyst Strong experience in data analysis, business intelligence, dashboarding, and executive reporting. * Advanced SQL skills for querying, joining, validating, and analyzing large datasets.

Seneca Holdings

Data Analyst

Chantilly, VA · Remote

Seneca Technologies is seeking a Data Analyst to support operational reporting and stakeholder ... Develop, maintain, and enhance operational, executive, and compliance-related reports to support ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

Strong experience in data analysis, business intelligence, dashboarding, and executive reporting. * Advanced SQL skills for querying, joining, validating, and analyzing large datasets. * Experience ...

Analytic Services Inc

Data Analyst

Alexandria, VA

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Ability to present analytical findings in a clear, concise, and executive-level format to senior ...

MetaPhase Consulting

Data Analyst

Washington, DC · On-site

Experience analyzing large datasets and presenting findings to executive or operational ... Familiarity with data governance, performance management, or operational metrics programs

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Executive Football Data Analyst information

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$34K

$82.6K

$136K

How much do executive football data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for executive football data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does an Executive Football Data Analyst do?

An Executive Football Data Analyst is responsible for collecting, analyzing, and interpreting football-related data to support decision-making within a club or organization. They use advanced statistical methods and data visualization to evaluate player performance, develop tactical insights, and inform recruitment strategies. Their work helps coaches and executives make evidence-based decisions to improve team performance and gain a competitive edge. Executive analysts may also present findings to senior management and collaborate with other departments to ensure data-driven approaches are integrated into overall club operations.

How much do NFL sports statisticians make?

NFL sports statisticians, including data analysts and statisticians working with teams or media, typically earn between $50,000 and $100,000 annually, depending on experience and role complexity. Senior analysts or those with specialized skills in data modeling and software tools may earn higher salaries, especially with additional certifications or advanced degrees.

How to become a data analyst for an NFL team?

To become a data analyst for an NFL team, candidates typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like SQL, Python, or R. Experience with sports analytics, understanding of football strategies, and the ability to work in fast-paced environments are also important, often supplemented by internships or previous roles in sports or data analysis. Certifications in data analysis or sports analytics can enhance prospects, and networking within the sports industry can help secure opportunities.

How does an Executive Football Data Analyst typically collaborate with coaching staff and other departments?

Executive Football Data Analysts work closely with coaching staff, scouts, and performance teams to translate data insights into actionable strategies. They attend regular meetings to present analytical findings, help design training plans based on performance metrics, and support recruitment decisions with statistical models. Effective communication is crucial, as analysts must explain complex data in an accessible way to non-technical stakeholders, ensuring insights are integrated into decision-making processes.

What does a data analyst do in football?

A football data analyst collects, processes, and interprets match and player data to provide insights that can improve team performance and strategy. They use statistical tools and software to analyze game patterns, player metrics, and team trends, supporting coaching decisions and scouting. Strong analytical skills and knowledge of data visualization are essential in this role.

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

To thrive as an Executive Football Data Analyst, you need a solid background in statistics, sports analytics, and data science, often supported by a relevant degree and experience in football analytics. Mastery of tools like Python, R, SQL, and advanced football data platforms (e.g., Opta, Wyscout) is typically required, along with certifications in analytics or sports management. Exceptional communication, critical thinking, and the ability to translate complex data into actionable insights are vital soft skills in this role. These capabilities enable analysts to drive strategic decision-making and provide a competitive edge to football organizations.

How much does a football data analyst make?

A football data analyst typically earns between $50,000 and $80,000 annually, depending on experience, location, and the level of the organization. Senior analysts or those working with top-tier teams may earn higher salaries, especially if they possess advanced skills in data analysis tools and sports analytics software.

What is the difference between Executive Football Data Analyst vs Football Data Analyst?

AspectExecutive Football Data AnalystFootball Data Analyst
Required CredentialsBachelor's or Master's in Sports Analytics, Data Science, or related fieldsBachelor's in Sports Analytics, Data Science, or related fields
Work EnvironmentSenior-level, strategic roles within professional clubs or organizationsOperational roles, analyzing game data, and supporting coaching staff
Employer & Industry UsageExecutive teams, sports organizations, clubsCoaching staff, sports analytics departments
Common Search & ComparisonYesYes

The main difference between an Executive Football Data Analyst and a Football Data Analyst lies in their level of responsibility and focus. The Executive role involves strategic decision-making and leadership within sports organizations, while the Football Data Analyst focuses on data analysis to support coaching and game strategies. Both roles require similar educational backgrounds but differ in scope and seniority.

More about Executive Football Data Analyst jobs
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What are the most commonly searched types of Football Data Analyst jobs? The most popular types of Football Data Analyst jobs are:
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Executive Football Data Analyst jobs near you
Infographic showing various Executive Football Data Analyst job openings in the United States as of June 2026, with employment types broken down into 39% Full Time, and 61% Part Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 3 hours 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

Apply