1

Commission Football Data Analyst Jobs (NOW HIRING)

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

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 ...

Receive and analyze commission files from multiple internal and third-party sources, each with distinct data structures and processing requirements * Process and validate commission data to ensure ...

Data Analyst LOCATION: San Bruno- CA Duration: 6 Months Rate: DOE Description: Description: Job ... Marketplace commission engine to drive business growth and develop different metrics around ...

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

Texas Workforce Commission connects people with careers across the state. While we are based in ... The Data Analyst II performs routine (journey-level) data analysis and data research work. Work ...

The Houston-Galveston Area Council is one of the largest regional planning commissions in the ... Support regional planning efforts through advanced land use modeling, data analysis, and ...

... Exchange Commission rely on our global consultants to deliver cloud solutions that yield ... The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

The Houston-Galveston Area Council is one of the largest regional planning commissions in the ... Support regional planning efforts through advanced land use modeling, data analysis, and ...

... Exchange Commission rely on our global consultants to deliver cloud solutions that yield ... The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

next page

Showing results 1-20

People also search for

Commission Football Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do commission football data analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for commission football data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Commission Football Data Analyst vs Football Data Analyst?

AspectCommission Football Data AnalystFootball Data Analyst
Required CredentialsBachelor's in Sports Analytics, Data Science, or related field; experience with sports data toolsBachelor's in Statistics, Data Science, or Sports Management; familiarity with football analytics software
Work EnvironmentSports organizations, commissions, or governing bodiesSports teams, analytics firms, or media outlets
Employer & Industry UsageUsed in official sports commissions and regulatory bodiesCommon in team analytics departments and sports media

The Commission Football Data Analyst typically works within sports commissions or governing bodies focusing on regulatory data, while the Football Data Analyst is more involved with team performance analysis or media coverage. Both roles require similar skills but differ mainly in their organizational context and specific responsibilities.

What cities are hiring for Commission Football Data Analyst jobs? Cities with the most Commission Football Data Analyst job openings:
What are the most commonly searched types of Football Data Analyst jobs? The most popular types of Football Data Analyst jobs are:
What states have the most Commission Football Data Analyst jobs? States with the most job openings for Commission Football Data Analyst jobs include:
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA

Full-time

Posted 22 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.