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Senior Football Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

Senior Data Analyst

Quantico, VA

$91.10K - $114.90K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative ...

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 ...

Senior Data Analyst

Alexandria, VA · On-site

$92K - $116.10K/yr

Position Summary ANSER is seeking a Senior Data Analyst to support the Department of Defense (DoD) Chief Information Officer (CIO) at the Mark Center in Alexandria, VA. In this role you will provide ...

Senior Data Analyst

Quantico, VA · On-site

$91.10K - $114.90K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data ...

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94.70K - $119.40K/yr

Description VAST Data is looking for a Senior Product Data Analyst to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history ...

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Senior Data Analyst

Conshohocken, PA

$84.60K - $106.80K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business questions across the organization. Working closely with the Senior Manager, Data Analytics, this ...

Senior Data Analyst

Sacramento, CA · Hybrid

$93.70K - $118.20K/yr

Senior Data Analyst We are seeking a Senior Data Analyst for our Client in Sacramento, CA. This role supports Agile delivery, backlog management, data analysis, and collaboration with technical and ...

Senior Data Analyst

Alexandria, VA · On-site

$92K - $116.10K/yr

Position Summary ANSER is seeking a Senior Data Analyst to support the Department of Defense (DoD) Chief Information Officer (CIO) at the Mark Center in Alexandria, VA. In this role you will provide ...

Senior Data Analyst

Conshohocken, PA · On-site

$84.60K - $106.80K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business questions across the organization. Working closely with the Senior Manager, Data Analytics, this ...

Sr. Data Analyst

Washington, DC · On-site

$110K - $150K/yr

Senior Data Analyst Washington, DC Metro Area (On-Site) | US Citizenship Required A mission-driven software organization supporting national security initiatives is seeking a Senior Data Analyst to ...

Sr. Data Analyst

Dallas, TX

$85.40K - $107.80K/yr

Job Title: Sr. Data Analyst Location: Dallas, TX, Bellevue, WA Duration: / Term: C2C Experience Desired: 8+ Years We are seeking a Senior Data Analyst to support a critical finance transformation ...

Senior Data Analyst

Berkeley Heights, NJ · On-site

$89.80K - $113.20K/yr

Role: Senior Data Analyst Location : Berkeley Heights, NJ (5days onsite) Contract/Full-Time We need a strong candidate with the following skills: * Senior Data Analyst: 10+ years of experience

Sr. Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

We are looking for a Senior Data Analyst with strong experience in data analysis across multiple database technologies. The ideal candidate will have deep expertise in SQL and Python , the ability to ...

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Senior Football Data Analyst information

See salary details

$55K

$99.2K

$135.5K

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

As of May 29, 2026, the average yearly pay for senior football data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 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 typically a degree in statistics, mathematics, or a related field. Proficiency with data analysis tools like Python, R, SQL, and visualization platforms such as Tableau, as well as experience with sports data systems like Opta or Wyscout, is crucial. Strong communication, problem-solving abilities, and teamwork help you translate complex data into actionable insights for coaches and decision-makers. These skills are essential to drive evidence-based strategies, improve team performance, and maintain a competitive edge in the football industry.

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 providing in-depth statistical reports and visualizations that inform tactical decisions, player recruitment, and opponent analysis. They often participate in regular meetings to interpret data findings and translate complex analytics into actionable insights tailored to the team's objectives. This collaboration ensures that data-driven recommendations are integrated into training plans and match preparations, helping to bridge the gap between analytics and on-field strategy.

What does a Senior Football Data Analyst do?

A Senior Football Data Analyst is responsible for collecting, processing, and interpreting large sets of football-related data to provide actionable insights for teams, coaches, and management. They use advanced statistical methods and data visualization tools to analyze player performance, team tactics, and opposition trends. Their work helps inform decisions on player recruitment, match preparation, and strategic planning, ultimately aiming to improve team performance. Senior analysts also mentor junior staff and may be involved in developing new analytical models or tools.

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

AspectSenior Football Data AnalystFootball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Analytics, or related field; experience preferredBachelor's in relevant field; entry to mid-level experience
Work EnvironmentProfessional sports teams, analytics firms, or media outletsSports organizations, media, or analytics companies
Employer & Industry UsageUsed in professional sports teams and high-level analytics rolesCommon in sports organizations and media outlets
Search & Comparison IntentUnderstanding advanced roles and responsibilitiesEntry to mid-level roles in sports analytics

The main difference between a Senior Football Data Analyst and a Football Data Analyst lies in experience, responsibilities, and seniority. Senior analysts typically have more experience, handle complex projects, and may oversee junior staff. Both roles are vital in sports analytics, but the senior position involves higher-level strategic insights and leadership within sports organizations.

What cities are hiring for Senior Football Data Analyst jobs? Cities with the most Senior Football Data Analyst job openings:
What are the most commonly searched types of Football Data Analyst jobs? The most popular types of Football Data Analyst jobs are:
What states have the most Senior Football Data Analyst jobs? States with the most job openings for Senior Football Data Analyst jobs include:

Full-time

Medical, Retirement

Posted 5 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