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Football Sports Analyst Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

YMCA

Site Coordinator - Flag Football

Golden Valley, MN · On-site

$20/hr

YMCA Vikings Flag Football Site-Coordinator | $20.00 | Sundays Schedule: Sunday 8am - 4pm Pay: The ... Knowledge of rules in sports recreation program activities. * Strong problem-solving and analytical ...

gannett

College Sports Reporter

Oklahoma City, OK

While football is a year-round priority, this reporter will also team with columnists and the OU ... Provide thoughtful analysis of complex issues and situations. * Use video, photos and social media ...

gannett

College Sports Reporter

Oklahoma City, OK · On-site

While football is a year-round priority, this reporter will also team with columnists and the OU ... Provide thoughtful analysis of complex issues and situations. * Use video, photos and social media ...

The Seattle Times

Sports Multiplatform Editor

Seattle, WA · On-site

$63K - $95K/yr

... to support football coverage. From late-January to mid-August, the schedule shifts to Friday ... Monitoring trends and readership analytics in real-time and providing the sports department with ...

Score Sports

Demand Planning Analyst

Irvine, CA

$75K - $95K/yr

... of sports including flag football, basketball, volleyball, baseball, and more. SCORE has ... The Demand Planning Analyst will report directly to the Director of FP&A and will be based in our ...

AEG

Analyst, Partnership Solutions

Tempe, AZ · On-site

Analyst, Partnership Solutions - Full Time/Exempt Department: Corporate Partnerships Reports to ... pro football franchises in the U.S., the Club has established itself as a sport and cultural ...

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Football Sports Analyst information

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How much do football sports analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for football sports analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

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For Football Sports Analyst jobs, the most frequently searched job titles are:

Football Sports Analyst jobs near you
Infographic showing various Football Sports Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 63% Full Time, 33% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Data Engineer

San Francisco, CA • On-site, Remote

Swish Analytics
Spectator Sports • 1 - 10 employees
Learn more about Swish Analyticsexternal

$160K/yr

Full-time

Re-posted 22 days ago

Job description

Company Overview
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.
Job Description
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE
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 Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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