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Commission Nfl Data Analyst Jobs (NOW HIRING)

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 ...

Baird

Commissions Data Analyst

Milwaukee, WI · On-site

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 ...

Redolent, Inc

Data Analyst

San Bruno, CA · On-site

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 ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

... 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.

Acumen Solutions

Data Analyst

Mclean, VA

... 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.

Acumen Solutions

Data Analyst

Mclean, VA · On-site

... 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.

NCD Agency LLC

Data Analyst

Dallas, TX · On-site

Support operational analytics. * * Assist with analysis involving billing, eligibility, carrier files, commissions, agent/member data, CRM data, cancellations, payments, and other operational ...

Acumen Solutions

Data Analyst

Mclean, VA

... 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.

Brady Corporation

Jr. Data Analyst

Salt Lake City, UT · On-site

Commissions & Quota Administration (Primary Focus) * Process Calculations: Execute monthly and ... ensure the analytics team is building models on clean data. * Governance Support: Assist in ...

COMPREHENSIVE HEALTHCARE

Data Analyst

Yakima, WA

$37.99 - $56.99/hr

Data Analyst duties may include: * Works closely with management to analyze business and ... Joint Commission-accredited organization committed to continuous quality improvement * Established ...

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Commission Nfl Data Analyst information

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

As of Jun 12, 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.

How much does a data analyst for an NFL team make?

A data analyst working for an NFL team typically earns between $50,000 and $100,000 annually, depending on experience, location, and team size. Entry-level analysts may start lower, while experienced professionals with specialized skills in sports analytics and data tools can earn higher salaries. Compensation often includes benefits and opportunities for performance-based bonuses.

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.

How to become a data analyst for an NFL team?

To become a data analyst for an NFL team, candidates typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like SQL, Python, or R. Experience with sports analytics, understanding of football metrics, and the ability to work in a fast-paced environment are also important, often supplemented by internships or relevant project work.

How much do NFL analysts get paid?

NFL data analysts typically earn between $50,000 and $100,000 annually, depending on experience, location, and the organization. Entry-level roles may start lower, while experienced analysts with specialized skills and certifications can earn higher salaries, often working with advanced analytics tools and data sets.

How much do NFL statisticians get paid?

NFL statisticians, often called data analysts or statisticians, typically earn between $40,000 and $80,000 annually, depending on experience, location, and the level of responsibility. Many work part-time or freelance, especially during the season, and proficiency with data tools like Excel or SQL is common.
What cities are hiring for Commission Nfl Data Analyst jobs? Cities with the most Commission 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 Commission Nfl Data Analyst jobs? States with the most job openings for Commission Nfl Data Analyst jobs include:
Commission Nfl Data Analyst jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 16 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

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