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Commission Nfl Data Analyst Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

3B Staffing LLC

Data Analyst

Austin, TX · On-site

... Commission or other state agency Send candidates who you've sent in the past for Data Analyst roles ALL SKILLS FROM DESCRIPTION BELOW MUST BE IN THE RESUME FOR 4-7 YEARS OF JOBS Send resume and ...

AvePoint

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.

AvePoint

Data Analyst

Jersey City, NJ

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.

AvePoint

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.

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

As of Aug 14, 2026, the average yearly pay for commission nfl 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 Nfl Data Analyst vs Football Data Analyst?

AspectCommission Nfl Data AnalystFootball Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or Sports ManagementBachelor's in Data Science, Sports Management, or related field
Work EnvironmentSports leagues, NFL offices, data teamsSports teams, analytics firms, media outlets
Industry UsagePrimarily NFL-specific data analysisBroader football industry, including college and other leagues
Common Search IntentComparing NFL-specific data rolesAnalyzing football data in general

The Commission NFL Data Analyst focuses on NFL-specific data, working within the league or related organizations, while a Football Data Analyst may work across various football leagues and teams. Both roles require similar skills and education but differ in scope and industry focus.

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What are the most commonly searched types of Nfl Data Analyst jobs?

The most popular types of Nfl Data Analyst jobs are:

What states have the most Commission Nfl Data Analyst jobs?

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Commission Nfl Data Analyst jobs near you

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 10 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.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
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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