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Contract 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

$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 ...

OakTree Staffing

Contract Data Analyst

Tulsa, OK

$59K - $72K/yr

Contract Data Analyst Location: Tulsa, OK Description Responsible for analysis of contracts and performing contract negotiations to include monitoring and reviewing existing contracts to ensure ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our Client, Procom Services is ...

Quantix

Data Analyst

Centennial, CO

Contract Length: 9 months Our client in the Centennial, Colorado area is looking for 2 Data Analysts to join their team on a contract basis. These analysts will join a team and be responsible for ...

BCForward

Data Analyst

New York, NY · Remote

$30 - $42/hr

Remote Contract Role Job Summary We are seeking a detail-oriented Data Analyst to support a short-term contract focused on building and maintaining an external workforce master dataset. This role ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

YUPRO Placement Data Analyst This is a contract opportunity. This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused on improving product reliability ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role ...

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Contract Nfl Data Analyst information

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

As of Jun 9, 2026, the average yearly pay for contract 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.

How does a Contract NFL Data Analyst typically collaborate with coaching staff and scouting teams?

As a Contract NFL Data Analyst, you'll often work closely with coaching staff and scouting teams to provide actionable insights from player performance, in-game statistics, and opponent tendencies. Collaboration may involve weekly meetings to present data-driven reports, answering ad-hoc requests for analysis, and supporting decision-making during drafts or game preparations. Clear communication and the ability to translate complex data into practical recommendations are crucial for building trust and driving results across departments.

What is the difference between Contract Nfl Data Analyst vs Contract Football Data Analyst?

AspectContract Nfl Data AnalystContract Football Data Analyst
Required CredentialsBachelor's in Data Science, Sports Management, or related field; knowledge of NFL dataBachelor's in Sports Analytics, Data Science, or related; familiarity with football statistics
Work EnvironmentSports teams, NFL organizations, or sports analytics firmsFootball teams, sports agencies, or analytics companies
Industry UsagePrimarily within NFL and American football industryWithin football industry, including college and professional levels

The main difference between a Contract NFL Data Analyst and a Contract Football Data Analyst lies in their specific focus within football. The NFL Data Analyst specializes in NFL-specific data, metrics, and team analysis, while the Football Data Analyst may work across various football levels, including college and other leagues. Both roles require similar skills and credentials but differ in their industry focus and data scope.

What are the key skills and qualifications needed to thrive as a Contract NFL Data Analyst, and why are they important?

To thrive as a Contract NFL Data Analyst, you need strong analytical skills, a background in statistics or data science, and familiarity with football analytics. Expertise in tools such as Python, R, SQL, and experience with data visualization platforms like Tableau, as well as knowledge of NFL-specific databases, is highly valued. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data and present actionable insights to teams or stakeholders. These skills ensure accurate data-driven recommendations that enhance team performance and strategic decision-making in a competitive sports environment.

What is a Contract NFL Data Analyst?

A Contract NFL Data Analyst is a professional hired on a temporary or project basis to analyze football-related data for the National Football League (NFL). Their work typically involves collecting, processing, and interpreting large sets of data, such as player statistics, game performance metrics, and scouting reports. These analysts use statistical methods and data visualization tools to provide insights that can help teams make informed decisions about player recruitment, game strategies, and opponent analysis. The contract nature of the role means that analysts may work for a specific team, agency, or project for a set period instead of being permanent staff. This position requires strong analytical skills, proficiency with data tools, and a deep understanding of football.
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Contract Nfl Data Analyst jobs near you
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

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.
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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