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Internship Nfl Data Analyst Jobs (NOW HIRING)

Data Analyst

Oakland, CA · On-site

$125 - $150/hr

Up to 4 years of experience (including internships) turning large datasets into actionable business ... to data analysis problems. * Understanding of fundamentals of relational databases and data ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Data Analyst

Oklahoma City, OK · On-site

$60 - $80/hr

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands‑on experience acceptable). Experience working with structured ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

As a Data Analyst, you will be working to identify internal/external databases to be connected ... ONE (1) or more years of experience (includes internships) working with large amounts of data

Data Analyst

Oklahoma City, OK · On-site

$60 - $80/hr

Experience:2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable).Experience working with structured ...

Internship Summary The Winsupply Internship Program offers students a unique opportunity to build ... Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role ...

Internship Summary The Winsupply Internship Program offers students a unique opportunity to build ... Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role ...

Internship Summary The Winsupply Internship Program offers students a unique opportunity to build ... Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role ...

... op/internship and/or up to 2 years of relevant professional experience. Experienced Level: A ... Proficiency in data analysis tools (e.g., Excel, SQL, Python, R, Power BI) Strong knowledge of ...

Experience presenting data or project findings (in classrooms, internships, or past roles) with ... Strong analytical skills paired with an appetite for solving puzzles, questioning data anomalies ...

This internship is scheduled to start January 2027. At Ameritas, our mission is Fulfilling Life. We ... Produce and analyze data extracts and reports from systems. * Contribute to solutioning business ...

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Internship Nfl Data Analyst information

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How much do internship nfl data analyst jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for internship nfl data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does an NFL data analyst intern do?

An NFL Data Analyst intern assists with collecting, cleaning, and analyzing football-related data to help teams and organizations make informed decisions. Their responsibilities often include working with player statistics, game data, and performance metrics using various tools and programming languages such as Excel, Python, or R. Interns may also help prepare reports, visualizations, and presentations for coaches, scouts, or executives. This role provides hands-on experience in sports analytics and a valuable introduction to data-driven decision-making in the NFL.

What are the key skills and qualifications needed to thrive as an NFL data analyst intern?

To thrive as an Internship NFL Data Analyst, you need a solid background in statistics, data analysis, and familiarity with football analytics, typically supported by coursework or a degree in statistics, mathematics, or a related field. Proficiency with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau, as well as experience with sports data systems, is often required. Strong attention to detail, critical thinking, and effective communication skills help you interpret data and convey insights to both technical and non-technical stakeholders. These skills ensure accurate analysis, impactful reporting, and valuable contributions to team performance decisions.

What types of projects and data sets do NFL data analyst interns typically work with?

As an NFL Data Analyst intern, you'll often work with a variety of data sets, including player performance statistics, game footage analytics, injury reports, and scouting data. Typical projects may involve cleaning and visualizing large data sets, building predictive models, or generating reports to help coaches and front office staff make informed decisions about game strategy or player acquisitions. This hands-on work directly supports the analytics team and can have a real impact on how the organization approaches both short-term tactics and long-term planning.

What is the difference between Internship Nfl Data Analyst vs NFL Data Analyst?

AspectInternship NFL Data AnalystNFL Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree programBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time, professional environment, independent analysis
Employer & Industry UsageSports teams, media, or analytics firms during internshipTeam organizations, media outlets, or analytics companies

The main difference is that an Internship NFL Data Analyst is a temporary, entry-level position for students or recent graduates gaining experience, while an NFL Data Analyst is a full-time professional role requiring more experience and responsibility in analyzing NFL data.

Do NFL teams hire internship NFL data analysts?

NFL teams do offer internship opportunities for data analysts, including roles focused on sports statistics, performance analysis, and data management. These internships typically require relevant skills in data analysis tools, programming, and sports knowledge, and are often available during the off-season or summer periods. Interested candidates should check team websites or sports industry job boards for specific openings and application details.

How much do NFL data analysts make?

NFL data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level analysts may start at lower salaries, while experienced professionals with advanced skills in data analysis tools and sports analytics can earn higher compensation. Salaries can also vary based on the organization and location.

How to get an internship in the NFL?

To secure an internship as an NFL data analyst, candidates should have strong analytical skills, proficiency in data tools like Excel, SQL, or Python, and a background in sports management, statistics, or related fields. Applying through official NFL internship programs or team-specific opportunities, and demonstrating relevant experience or projects, can improve chances of selection.
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Infographic showing various Internship Nfl Data Analyst job openings in the United States as of September 2026, with employment types broken down into 40% Internship, 53% Full Time, and 7% Part Time. Highlights an 73% In-person, 7% Hybrid, and 20% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Analyst

Oakland, CA • On-site

Menlo Ventures
Investment Clubs and Venture Capital Companies • 11 - 50 employees

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Key responsibilities

  • Transform large datasets into actionable metrics and attributes using SQL and Spark.

  • Explore and develop repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.

  • Advise business teams on implementing scalable, robust telemetry and analytics tracking.


Job description

Everlaw is seeking a Data Analyst to transform raw data into actionable insights. This full‑time, exempt position is located onsite in Oakland, California, with a hybrid schedule of three days per week in the office.

Responsibilities
  • Familiarize yourself with our technologies, workflows, and codebase through extensive training and product certification.
  • Transform large datasets into actionable metrics and attributes using SQL and Spark.
  • Explore and develop repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.
  • Design and surface metrics that are faithful and precise, helping the business understand how to drive those metrics.
  • Build out the data context layer (schemas, metric definitions, institutional knowledge, etc.) to power agentic analytics workflows.
  • Advise business teams on implementing scalable, robust telemetry and analytics tracking.
Qualifications
  • Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related technical discipline.
  • Up to 4 years of experience (including internships) turning large datasets into actionable business insights.
  • Experience and proficiency in wrangling data using SQL.
  • Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems.
  • Understanding of fundamentals of relational databases and data modeling.
  • Strong foundation of statistical methods and probability theory.
  • Excellent communication and presentation skills, especially in translating technical information to non‑technical audiences.
  • Preferred: Experience working with open‑source analytics tools such as Airflow or DBT.
  • Preferred: Experience working with distributed processing technologies such as Spark or MapReduce.
  • Preferred: Experience applying machine learning or statistical modeling methods to real‑world problems.
  • Familiar with Git or a similar DVCS.
Benefits
  • Salary range $120,000 – $172,000 (base pay subject to change).
  • Equity program.
  • 401(k) retirement plan with company matching.
  • Health, dental, and vision insurance.
  • Flexible Spending Accounts for health and dependent care expenses.
  • Paid parental leave and approximately 80 hours (10 days) of sick leave per year.
  • 17 paid vacation days plus 11 federal holidays.
  • Membership to Modern Health for mental health and wellness.
  • Annual allocation for Learning & Development opportunities and applicable professional membership dues.
  • Company‑sponsored life and disability insurance.

Everlaw is an equal‑opportunity employer. Everlaw prides itself on a diverse workforce and does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender and gender identity of our applicants and employees and honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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