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

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Internship Nfl Data Analyst information

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$12

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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

Cyber Risk Data Engineer/Analyst

Technomics Inc

Arlington, VA • On-site

Full-time

Re-posted 19 days ago

Job description

Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster. We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently. We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter experts, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts use problem-solving principles, processes and methods and complementary software applications to support client engagements and have a direct and significant impact on deliverables to clients. Your work will be guided by more experienced team members, but you will work with autonomy.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position may be located in Arlington, VA (Headquarters), Washington D.C., Pentagon, Springfield, VA., Chantilly, VA., Tysons Corner, VA.
Description:
We are seeking a Cyber Risk Data Engineer/Analyst. This role focuses on the data side of cyber risk management - capturing outputs from senior SMEs, tagging and structuring data, and building data-driven capabilities that support proactive risk identification.
The ideal candidate is detail-oriented and eager to grow in the cybersecurity field.
You will help organize and manage risk assessment data, connect outputs to external threat/vulnerability databases (e.g., CVE/NVD, MITRE ATT&CK), and develop structured knowledge bases that allow for trend analysis and lessons learned.
This position is perfect for someone who wants to learn from senior SMEs while building technical skills in data analysis, visualization, and cyber risk management. You'll play a key role in helping clients shift from reactive reporting to proactive risk detection.
Clearance Required: Active DOE Q or higher (or ability to obtain)
Key Responsibilities:
  • Support senior SMEs by collecting, organizing, and structuring cyber risk assessment outputs into usable datasets and knowledge repositories.
  • Implement data tagging, metadata standards, and knowledge capture practices to enable traceability and lessons-learned reuse across assessments.
  • Connect assessment data with external threat and vulnerability databases (e.g., MITRE ATT&CK, CVE/NVD, vendor advisories) to enrich analysis and support proactive risk identification.
  • Develop and maintain structured datasets, dashboards, or knowledge management tools that allow for trend analysis and predictive insights.
  • Assist in building data-driven capabilities to shift risk management from reactive reporting toward proactive detection and trend anticipation.
  • Work closely with senior cyber SMEs to ensure data accurately reflects risk findings, mitigation considerations, and enterprise impacts.
  • Support the development of data visualization products, analytic reports, and briefing materials for leadership.
  • Contribute to the maturation of the clients risk knowledge base by aligning historical assessment data with new findings.

Required Qualifications:
  • 1-3 years of experience in cybersecurity, data analysis, or IT risk management.
  • Familiarity with cybersecurity frameworks such as NIST SP 800-30, RMF, or MITRE ATT&CK (coursework, internships, or entry-level experience acceptable).
  • Demonstrated experience with data analysis, organization, and visualization (Excel, Power BI, Tableau, or similar).
  • Ability to work with structured and unstructured data, including tagging, metadata, and relational mapping.
  • Strong written and verbal communication skills to document findings and support SME deliverables.

Preferred Qualifications:
  • Experience supporting national security organizations.
  • Familiarity with cyber threat and vulnerability databases (CVE, NVD, CISA KEV catalog, vendor advisories).
  • Coursework or hands-on exposure to Python, SQL, or other scripting tools for data handling.
  • Technical certifications such as Security+.
  • Understanding of knowledge management or data governance practices.
  • Ability to work in a team-oriented, high-paced environment and interact with both technical and non-technical stakeholders.

Work Environment:
  • Hybrid role with D.C.-based work and travel to client and partner sites to support SME risk assessment teams.
  • Focused on the data side of mission assurance - building knowledge bases, connecting data sources, and supporting proactive cyber risk identification.
  • Collaborative setting with senior SMEs, engineers, and mission partners, requiring adaptability, attention to detail, and an eagerness to learn.
  • Provides strong career growth opportunities in cyber risk analysis, data science, and national security mission assurance.

Salary range: $70,000- 115,000 USD
The salary range listed is one part of our total compensation package, which may also include bonuses, incentives and benefits. Individual compensation is determined based on qualifications such as relevant years of experience, education, certifications and geographic location
Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.

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