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Per Diem Football Data Analytics Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

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

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

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 ...

AEG

Data Analyst

Riverside, MO · On-site

Stay current on emerging trends in football analytics, machine learning, artificial intelligence, and data engineering. * Explore innovative analytical methods to improve tactical understanding ...

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

Bay FC

Head of Data & Analytics

San Francisco, CA

Head Of Data & Analytics Bay FC is the first NWSL team in the Bay Area. Co-founded by four U.S ... While our community is our foundation, our love of football is our reason for being. We have the ...

AEG

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ... Performance & Football Intelligence * Translate raw match, event, and tracking data into meaningful ...

Seneca Family of Agencies

Per Diem Nurse

Concord, CA

$60.10 - $62.60/hr

Per Diem Nurse Job Category: Health Services Requisition Number: PERDI001987 Posted: May 8, 2026 ... Collects and analyzes assessment data to formulate resident care problems, individualized outcomes ...

Seneca Family of Agencies

Per Diem Nurse

San Jose, CA

$60.10 - $62.60/hr

Per Diem Nurse Job Category: Health Services Requisition Number: PERDI001987 Posted: May 8, 2026 ... Collects and analyzes assessment data to formulate resident care problems, individualized outcomes ...

Seneca Family of Agencies

Per Diem Nurse

Petaluma, CA

$60.10 - $62.60/hr

Per Diem Nurse Job Category: Health Services Requisition Number: PERDI001987 Posted: May 8, 2026 ... Collects and analyzes assessment data to formulate resident care problems, individualized outcomes ...

Seneca Family of Agencies

Per Diem Nurse

San Leandro, CA

$60.10 - $62.60/hr

Per Diem Nurse Job Category: Health Services Requisition Number: PERDI001987 Posted: May 8, 2026 ... Collects and analyzes assessment data to formulate resident care problems, individualized outcomes ...

Dania Discount Drugs Inc

Pharmacist Per Diem

Irwin, PA · On-site

$50 - $57.50/hr

We are looking for a Pharmacist Per Diem to join our team! You will be responsible for dispensing ... Strong analytical and critical thinking skills * Excellent written and verbal communication skills

Seneca Family of Agencies

Per Diem Nurse

Oakland, CA · On-site

$60.10 - $62.60/hr

Collects and analyzes assessment data to formulate resident care problems, individualized outcomes ... Per Diem; number of shifts will vary * Monday - Friday; 8:30am - 4:30pm (Sonoma) * Monday - Friday ...

Dania Discount Drugs Inc

Pharmacist Per Diem

Irwin, PA · On-site

$50 - $57.50/hr

We are looking for a Pharmacist Per Diem to join our team! You will be responsible for dispensing ... Strong analytical and critical thinking skills * Excellent written and verbal communication skills

PFF

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into ... The pay range for this role is: 120,000 - 160,000 USD per year (Remote (United States)

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Per Diem Football Data Analytics information

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$33K

$81.5K

$140K

How much do per diem football data analytics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for per diem football data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is the difference between Per Diem Football Data Analytics vs Football Data Analyst?

AspectPer Diem Football Data AnalyticsFootball Data Analyst
CredentialsTypically requires a degree in sports analytics, statistics, or related fieldSimilar educational background, often with additional certifications in data analysis or sports management
Work EnvironmentTemporary, game-by-game or event-based assignments, often freelance or contractFull-time or part-time employment within sports teams, organizations, or media outlets
Employer & Industry UsageUsed by sports teams, leagues, or media for short-term projects or game analysisEmployed by teams, broadcasters, or analytics firms for ongoing data analysis roles

Per Diem Football Data Analytics involves short-term, event-based work often on a freelance basis, focusing on specific games or events. In contrast, Football Data Analysts typically hold ongoing roles within organizations, providing continuous data insights. Both roles require similar skills and educational backgrounds but differ mainly in employment type and work structure.

How much does a football data analyst make?

A football data analyst typically earns between $50,000 and $80,000 annually, depending on experience, location, and the level of the organization. Entry-level positions may start lower, while experienced analysts working with professional teams or leagues can earn higher salaries, often supplemented by bonuses for performance and accuracy. Skills in data analysis tools and sports statistics are essential for higher earning potential.

How much do NFL sports statisticians make?

NFL sports statisticians, including those working as data analysts or statisticians, typically earn between $40,000 and $80,000 annually, depending on experience and level of responsibility. Per diem or freelance roles may pay hourly or project-based rates, often ranging from $20 to $50 per hour. These positions often require strong analytical skills, knowledge of football, and proficiency with data tools or software.

What does a data analyst do in football?

A data analyst in football collects, processes, and interprets game data to identify patterns and insights that can improve team performance and strategy. They use statistical tools and software to analyze player metrics, game outcomes, and other relevant data, supporting coaching decisions and player development.

How to get into football data analytics?

To enter football data analytics, develop skills in data analysis, statistics, and programming languages such as Python or R. Gaining experience with sports data, understanding football strategies, and familiarizing yourself with analytics tools like SQL and Tableau can improve your prospects; internships or entry-level roles in sports organizations also help build relevant experience.
What cities are hiring for Per Diem Football Data Analytics jobs? Cities with the most Per Diem Football Data Analytics job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Per Diem Football Data Analytics jobs? States with the most job openings for Per Diem Football Data Analytics jobs include:
Per Diem Football Data Analytics jobs near you

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 20 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment.
Responsibilities
  • Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights.
  • Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities.
  • Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
  • Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
  • Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities.

Qualifications
Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience.
Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience)
Technical Skills:
  • Proficiency in Python and experience with Databricks.
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks.
  • Documented experience in football analytics, demonstrated through industry experience, public content, or
    significant independent projects. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos.
  • Solid foundation in statistical modeling and machine learning methodologies.
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets.
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

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