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Internship Nfl Data Analyst Jobs in Reston, VA (NOW HIRING)

Danaher

Digital Analyst Internships

Annandale, VA · On-site

$98K - $115K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Danaher

Digital Analyst Internships

Gaithersburg, MD · On-site

$106K - $125K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Danaher

Digital Analyst Internships

Rockville, MD · On-site

$100K - $118K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Danaher

Digital Analyst Internships

Adelphi, MD · On-site

$98K - $116K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Booz Allen Hamilton

Data Scientist, Mid

Arlington, VA · On-site

... internship environments • Experience in data gathering, analytical, and problem-solving work • Knowledge of an object-oriented language, including Java, C++, C#, or Python • Knowledge of SQL ...

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Internship Nfl Data Analyst information

See Reston, VA salary details

$12

$23

$43

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

As of Aug 13, 2026, the average hourly pay for internship nfl data analyst in Reston, VA is $23.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

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.

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.
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Internship Nfl Data Analyst jobs near you

Data Science and Advanced Analytics Intern

AARP

Washington, DC • On-site

$28/hr

Internship

Re-posted 10 days ago

AARP rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

140th of 772 rated non-profit organizations

Job description

Overview
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.
Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making.
The AARP Data Science & Advanced Analytics team is seeking a curious and creative intern to support ongoing enhancements to Data Science-owned AI/ML and agentic personalization capabilities across our digital channels. This paid internship, anticipated to begin in Fall 2026 with the potential to extend into additional semesters, sits within the Data Science function and focuses on AI-driven personalization, content intelligence, audience engagement analysis, and emerging agentic decisioning initiatives. The intern will help evaluate engagement signals, content effectiveness, and qualitative feedback to support the evolution of AI/ML-powered personalization systems and optimization frameworks. This internship offers hands-on exposure to how analytics, content strategy, audience engagement, and AI work together to improve personalized digital experiences, while supporting Data Science-led AI and agentic personalization initiatives focused on content intelligence, engagement optimization, and AI-assisted decisioning. Ideal candidates will have an interest in media, marketing analytics, audience strategy, communications, digital content, consumer behavior, personalization, and emerging AI technologies, combined with strong analytical thinking, intellectual curiosity, and the ability to connect insights to business outcomes.
Responsibilities
  • Support ongoing improvements to Data Science-owned AI/ML and agentic personalization capabilities
  • Review personalized content recommendations and engagement trends
  • Evaluate content relevance, freshness, tone, and audience alignment
  • Analyze web, app, and email engagement patterns and analytics
  • Support experimentation and optimization initiatives
  • Provide structured qualitative feedback to support AI-assisted decisioning
  • Assist with summaries, presentations, analytics reviews, and insight documentation

Qualifications
  • Currently pursuing an undergraduate or graduate degree in Media & Marketing Analytics, Audience Strategy, Digital Media, Integrated Marketing Communications, Business Analytics, Consumer Strategy, Marketing, Communications, or a related field
  • Strong interest in digital experiences, consumer engagement, personalization, and emerging AI technologies
  • Ability to think analytically, synthesize insights, and communicate findings clearly to both technical and non-technical audiences

Additional
  • Exposure to digital publishing, content marketing, audience development, or marketing analytics
  • Familiarity with audience engagement metrics, reporting, dashboards, or performance measurement
  • Interest in personalization, AI/ML, experimentation, recommendation systems, or emerging agentic AI applications
  • Experience creating presentations, reports, content analyses, or research summaries
  • Comfort working with both quantitative and qualitative information to identify patterns, opportunities, and insights
  • Curiosity about how data, content, and technology can work together to improve customer experiences and business outcomes

AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
  • Regular and reliable job attendance
  • Effective verbal and written communication skills
  • Exhibit respect and understanding of others to maintain professional relationships
  • Independent judgement in evaluation options to make sound decisions
  • In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
The hourly range is $18.40 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.

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