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Full Time 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 ...

Vancro, Inc.

Data Analytics Integrator

Marietta, GA

Marietta, GA (Hybrid/On-Site) Position Type: Full-Time Pay: 110k - 125k Depending on Experience Position Overview Vancro is seeking a Data Analytics Integrator to support a Human Resources Office ...

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 ...

PFF

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into powerful insights. Our exclusive player grades, advanced metrics, and tools fuel winning decisions 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 ...

CACI International, Inc.

Data Analytics

Albuquerque, NM · On-site

$71K - $150K/yr

Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US * * * The ...

Everest

Data Analyst - Data & Analytics

New York, NY · Hybrid

$88K - $125K/yr

Analytics About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year ... Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: New York, NY ...

Everest

Data Analyst - Data & Analytics

Warren, NJ · Hybrid

$88K - $125K/yr

Analytics About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year ... Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: New York, NY ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

The Data Analytics Architect leads the design, integration, and governance of data systems that ... * Full-time, 40-hour workweek with flexibility for mission requirements. * Travel: Candidates ...

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Full Time Football Data Analytics information

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How much do full time football data analytics jobs pay per year?

As of Jun 29, 2026, the average yearly pay for full time football data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Football Data Analytics vs Part Time Football Data Analytics?

AspectFull Time Football Data AnalyticsPart Time Football Data Analytics
CredentialsBachelor's in Sports Analytics, Data Science, or related field; experience with sports data toolsSimilar credentials, often with less experience required
Work EnvironmentFull-time employment, office or stadium setting, regular hoursFlexible hours, freelance or contract basis, remote options
Industry UsageEmployed by clubs, leagues, or sports analytics firmsFreelance consultants, part-time contractors, or hobbyists

Full Time Football Data Analytics involves dedicated, full-time roles with consistent hours and employer benefits, often within clubs or sports organizations. Part Time Football Data Analytics offers flexible, project-based work suitable for those balancing other commitments. Both roles require similar skills and credentials but differ mainly in commitment level and work setting.

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 Full Time Football Data Analytics jobs? States with the most job openings for Full Time Football Data Analytics jobs include:
Full Time Football Data Analytics jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 4 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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