ZipRecruiter

Log In

1

Summer Football Data Analytics Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...

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 ...

Gnw

Data Analytics Intern - Summer 2027

Richmond, VA

$23 - $26/hr

POSITION TITLE Data Analytics Intern - Summer 2027 POSITION LOCATION This hybrid position is located in Richmond, Virginia. YOUR ROLE At Genworth and CareScout, we see your data-driven and analytic ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

SumerSports LLC

Product Manager

Position Summary We're a small but mighty group of Product Managers that work with our in-house experts and customers to build this next generation of Football Data Analytics and AI experiences for ...

SumerSports LLC

Sr. Product Manager

$129K - $170K/yr

Position Summary We're a small but mighty group of Product Managers that work with our in-house experts and customers to build this next generation of Football Data Analytics and AI experiences for ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

During the summer, each BLP Intern is provided with project work that is important to our business ... Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students ...

City of New York

Data Analytics Grad Intern

Manhattan, NY · On-site

$20 - $30/hr

DOF's Tax Policy & Data Analytics Division reviews, analyzes, and evaluates existing and proposed ... SUMMER GRADUATE INTERN - 10232 Qualifications Candidates must be currently enrolled in a graduate ...

next page

Showing results 1-20

All JobsSummer Football Data Analytics Jobs

Summer Football Data Analytics information

See salary details

$33K

$81.5K

$140K

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

As of Jul 30, 2026, the average yearly pay for summer football data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on as a Summer Football Data Analytics intern?

As a Summer Football Data Analytics intern, you'll typically analyze match and player data, assist with building statistical models, and generate performance reports for coaching staff. You may also help clean and visualize large datasets, contribute insights to pre- and post-match analysis, and collaborate closely with analysts, coaches, and sometimes the players themselves. This hands-on experience provides exposure to both technical and tactical aspects of the sport, while allowing you to develop practical skills in data analysis and communication.

What is the difference between Summer Football Data Analytics vs Summer Sports Data Analysis?

AspectSummer Football Data AnalyticsSummer Sports Data Analysis
Required CredentialsBachelor's in Sports Management, Data Science, or related field; knowledge of football metricsBachelor's in Sports Science, Data Analytics, or related; general sports knowledge
Work EnvironmentFootball teams, sports analytics firms, or athletic organizations during summerVarious sports organizations, leagues, or research institutions in summer programs
Employer & Industry UsageFootball clubs, college teams, sports analytics companiesMultiple sports organizations, including football, basketball, and others

Summer Football Data Analytics focuses specifically on football-related data, metrics, and performance analysis, often requiring specialized knowledge of football strategies and statistics. In contrast, Summer Sports Data Analysis covers a broader range of sports, applying data techniques across multiple disciplines. Both roles involve data collection, analysis, and reporting but differ in sport-specific expertise and application scope.

What are Summer Football Data Analytics jobs?

Summer Football Data Analytics jobs involve collecting, analyzing, and interpreting data related to football matches, players, and teams during the summer season. Professionals in these roles use statistical tools and software to identify patterns and trends that can help coaches, analysts, and management make informed decisions. These jobs often include tasks such as tracking player performance, compiling match statistics, and creating visual reports. The positions are ideal for those with strong analytical skills, an interest in sports, and familiarity with data analysis tools like Excel, Python, or R.

What are the key skills and qualifications needed to thrive as a Summer Football Data Analytics professional, and why are they important?

To thrive in Summer Football Data Analytics, you need a solid background in statistics, sports analytics, and data interpretation, often supported by coursework or experience in data science or related fields. Familiarity with tools such as Python, R, SQL, and sports analytics platforms like Opta or Wyscout is typically required. Strong analytical thinking, attention to detail, and effective communication skills set standout candidates apart. These abilities are crucial for generating actionable insights that support team performance, recruitment, and strategic decision-making in a competitive sports environment.
More about Summer Football Data Analytics jobs
What cities are hiring for Summer Football Data Analytics jobs? Cities with the most Summer 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 Summer Football Data Analytics jobs? States with the most job openings for Summer Football Data Analytics jobs include:
What job categories do people searching Summer Football Data Analytics jobs look for? The top searched job categories for Summer Football Data Analytics jobs are:
Summer Football Data Analytics jobs near you
Infographic showing various Summer Football Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Re-posted 8 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