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Entry Level Nfl Data Analyst Jobs (NOW HIRING)

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 ...

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

Data Analyst

Chicago, IL · On-site

$30 - $35/hr

Data Analyst (Entry-Level) Chicago, IL (Hybrid) $30.00 - $35.00 per hour Contract / Contract-to-Hire LHH is seeking a detail-oriented Data Analyst to join a growing team in a hybrid capacity in ...

New

Data Analyst

Chicago, IL · On-site

$30 - $35/hr

Data Analyst (Entry-Level) Chicago, IL (Hybrid) $30.00 - $35.00 per hour Contract / Contract-to-Hire LHH is seeking a detail-oriented Data Analyst to join a growing team in a hybrid capacity in ...

New

Data Analyst (Entry-Level) Location: New York, NY Experience Level: 0-3 years About the Company We are a fast-growing SMB lending company focused on providing flexible financing solutions to small ...

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Experience: Entry-level EMR reporting and analyzing clinical data experience * Skills: Proficient in Microsoft Excel, PowerPoint, Business Objects, SQL, Tableau, and Power BI. The ideal candidate ...

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Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

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Entry Level Nfl Data Analyst information

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How much do entry level nfl data analyst jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level nfl data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Nfl Data Analyst vs Entry Level Sports Data Analyst?

AspectEntry Level Nfl Data AnalystEntry Level Sports Data Analyst
Required CredentialsBachelor's in Sports Management, Statistics, or related field; knowledge of NFL dataBachelor's in Sports Management, Statistics, or related field; general sports data knowledge
Work EnvironmentSports teams, NFL organizations, sports analytics firmsSports teams, leagues, analytics companies across various sports
Employer & Industry UsagePrimarily NFL teams and organizations

Entry Level Nfl Data Analysts focus specifically on NFL data, requiring knowledge of football statistics and NFL-specific metrics. Entry Level Sports Data Analysts have a broader scope, working across multiple sports. Both roles typically require similar educational backgrounds and work environments, but NFL data analysts specialize in football analytics within the sports industry.

More about Entry Level Nfl Data Analyst jobs
What cities are hiring for Entry Level Nfl Data Analyst jobs? Cities with the most Entry Level Nfl Data Analyst job openings:
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 Entry Level Nfl Data Analyst jobs? States with the most job openings for Entry Level Nfl Data Analyst jobs include:
Infographic showing various Entry Level Nfl Data Analyst job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 92% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 2 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