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Summer Football Data Analytics Jobs (NOW HIRING)

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 ...

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 ...

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 · On-site

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 ...

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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 10, 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 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 $81,518 per year, or $39.2 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 14 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • 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 strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • 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 Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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