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Internship Nfl Data Analyst Jobs in Indiana (NOW HIRING)

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into ...

Showing results 21-40

Internship Nfl Data Analyst information

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.

What are the most commonly searched types of Nfl Data Analyst jobs in Indiana?

The most popular types of Nfl Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Internship Nfl Data Analyst jobs?

Cities in Indiana with the most Internship Nfl Data Analyst job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Evansville, IN • On-site, Remote

$35/hr

Temporary, Internship

Posted 6 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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