ZipRecruiter

Log In

1

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 ...

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 ...

SumerSports LLC

Sr. Product Manager

$129K - $170K/yr

... Football Data Analytics and AI experiences for our customers. It's a complex but exciting task to ... As we are a small company, this Senior Product Manager rolewill touch multiple facets across the ...

Vancro, Inc.

Data Analytics Integrator

Marietta, GA · On-site

Ability to communicate findings to senior leadership * U.S. Citizen Highly Desired Qualifications ... Bachelor's degree in Data Analytics, Information Systems, Business, Finance, Human Resources ...

Citigroup, Inc.

Data Analytics Senior Analyst

Irving, TX · On-site

$141K - $142K/yr

A. seeks a Data Analytics Senior Analyst for its Irving, Texas location. Duties: Design and develop strategic solution plans for business functionalities and build dynamic and scalable data pipelines ...

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 five 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 five million members. We provide access to financial solutions that ...

Goosehead

Senior Sales Analyst

Westlake, OH · On-site

$79K - $100K/yr

The Senior Data Analytics and Insights Analyst will interact with other teams to form a data-driven culture leveraging metrics and KPIs and strategic analysis on company performance and trends. The ...

New

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making across the company. Responsibilities : • Own and evolve our ...

Microsoft

Senior Manager - Data Analytics

Redmond, WA · On-site

As Senior Manager - Data Analytics on the ARC team, you will operate at the intersection of data analytics, audit context, and business intuition. You will analyze large, fragmented datasets to ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

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

next page

Showing results 1-20

All JobsFootball Data Analytics JobsSenior Football Data Analytics Jobs

Senior Football Data Analytics information

See salary details

$45K

$114.5K

$168.5K

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

As of Jul 10, 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 July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% 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

Re-posted 17 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

Apply