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Internship Nfl Data Analytics Jobs (NOW HIRING)

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

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

As of Jun 9, 2026, the average hourly pay for internship nfl data analytics 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 are the key skills and qualifications needed to thrive as an NFL Data Analytics Intern, and why are they important?

To thrive as an NFL Data Analytics Intern, you need a solid foundation in statistics, data analysis, and a relevant field of study such as mathematics, computer science, or sports analytics. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set outstanding candidates apart. These skills are crucial for accurately interpreting complex football data, supporting team decision-making, and clearly conveying insights to coaches and executives.

What types of projects and responsibilities can I expect during an NFL Data Analytics internship?

As an NFL Data Analytics intern, you can expect to work on projects involving the collection, cleaning, and analysis of large sports datasets, such as player statistics, game outcomes, and tracking data. Typical responsibilities include building data visualizations, supporting predictive modeling efforts, and assisting in the preparation of reports for coaches and front-office staff. Collaboration is common, as you'll often work with data scientists, software developers, and football operations personnel. This hands-on experience provides valuable exposure to real-world sports analytics and the opportunity to contribute meaningful insights to decision-makers within the organization.

What is an NFL Data Analytics Internship?

An NFL Data Analytics Internship is a temporary, hands-on position where interns assist the NFL or its affiliated teams in analyzing large sets of football data. Interns typically work with statistics, game footage, and player performance metrics to help provide actionable insights for coaching, scouting, or business decisions. The role often involves using data analysis tools and programming languages such as Python or R. It's an excellent opportunity for students or recent graduates interested in sports analytics to gain real-world experience and build valuable industry connections.

What is the difference between Internship Nfl Data Analytics vs Data Analyst Intern?

AspectInternship Nfl Data AnalyticsData Analyst Intern
Required CredentialsRelevant coursework, basic statistical knowledgeRelevant coursework, basic statistical knowledge
Work EnvironmentSports industry, NFL teams, sports analytics firmsVarious industries, corporate offices, tech companies
Employer & Industry UsagePrimarily sports teams and sports analytics companiesBroadly used across industries including finance, marketing, tech

Internship Nfl Data Analytics and Data Analyst Intern roles share similar educational requirements and skills. However, Internship Nfl Data Analytics is specifically focused on sports data within the NFL industry, while Data Analyst Intern roles are more diverse across various sectors. The work environment for NFL analytics internships is centered around sports organizations, whereas data analyst internships can be found in multiple industries.

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Internship Nfl Data Analytics jobs near you
Data & Analytics Lead

Data & Analytics Lead

TicketManager

Calabasas, CA • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Live events are fun.
Concerts, sporting events, and festivals create memorable lifelong experiences with clients, prospects, partners, friends, and family-and they drive real business impact.
Companies spend more than $600 billion each year on client entertainment. TicketManager is the enterprise platform they trust to source, manage, track, and report on live event tickets and hospitality-while maintaining compliance, control, and visibility across the organization.
Built at the intersection of live events, technology, and enterprise operations, TicketManager makes client entertainment easy and measurable. Our industry-leading software supports everything from invitations and event execution to post-event reporting, helping companies clearly prove ROI and strengthen relationships through unforgettable experiences.
TicketManager is trusted by thousands of global brands, including Anheuser-Busch, Verizon, American Express, Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major organizations such as the NBA, NFL, NCAA, and NASCAR.
We're also proud to partner with some of the most iconic teams and venues in sports and entertainment, including the New York Jets, Philadelphia Eagles and Phillies, Capital One Arena, Texas Rangers, LAFC, and Seattle Seahawks, along with more than 50 professional and collegiate teams, franchises, universities, and technology providers.
Why Work at TicketManager
At TicketManager, you'll help build technology that brings people together through live experiences-while solving complex, real-world problems for the world's best companies. We're a fast-growing, profitable company that values ownership, collaboration, and excellence, and we're building a team that's passionate about making work impactful and fun.
If you're excited about live events, cutting-edge technology, and doing work that truly matters, you'll feel right at home here.
The Role:
The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already a heavy Power BI shop; your mission is to take our existing footprint to the next level. You will manage our Data Lake (AWS or Azure), scale our Power BI Fabric implementation, and act as a high-speed technical partner for every department-from Sales to Fulfillment. This is a role for a curious, experimental builder who loves solving complex puzzles under tight deadlines and providing the "speed to insight" that keeps our executive team moving.
Responsibilities:
Power BI & Fabric Power-User
  • Advance the Stack: Take ownership of a mature Power BI environment. Optimize existing dashboards for performance and design "next-gen" visualizations in Power BI Fabric.
  • New Development: Rapidly build and deploy new dashboards that track emerging business initiatives across the organization.
  • Deep-Dive DAX: Write and troubleshoot complex DAX and Power Query (M) to ensure our metrics are accurate and performant.
Data Lake Architecture & Management
  • Lake Ownership: Manage and optimize our Data Lake environment (AWS or Azure). Ensure data is clean, accessible, and structured for high-performance reporting.
  • Cross-Org Integration: Ingest data from disparate sources (Dynamics, Zendesk, Atlassian, and application data) into a unified layer that allows for cross-departmental analysis.
  • Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing methods to find the most efficient path to an answer.
High-Velocity Ad-Hoc Analysis
  • The "Human API": Act as the primary point of contact for "quick questions" from leadership. You must be able to pivot from a long-term project to a 30-minute deep-dive to answer a pressing business question.
  • Cross-Departmental Projects: Manage a rotating queue of projects from different teams. One day you're helping Finance with billing reconciliation; the next, you're helping Support track ticket deflection.
Curiosity & Experimentation
  • Stay Hungry: Constantly look for better ways to visualize data or automate reporting. We want someone who asks "What if we tried this?" instead of just following a ticket.
  • AI Integration: Explore how AI features within the Power BI/Fabric ecosystem (like Copilot for Power BI) can be used to speed up our internal workflows.
Desired Skills and Experience:
  • Bachelor's degree required (Computer Science, Mathematics, Statistics, or related field preferred)
  • 3-5 years of experience in a data analytics, BI, or data engineering-adjacent role
  • Expert-level proficiency in Power BI, including advanced DAX, Power BI Service administration, and experience with Microsoft Fabric and/or Lakehouse architecture
  • Strong hands-on experience with cloud-based data platforms, including AWS (S3, Redshift) and/or Azure (Data Lake, Synapse)
  • Advanced SQL expertise with the ability to write complex queries across large, disparate, and legacy datasets
  • Demonstrated ability to identify trends, anomalies, and data quality issues proactively (strong analytical and statistical intuition)
  • Experience in logistics, sports/entertainment, or high-growth SaaS environments strongly preferred
  • Proficiency in Python or R for advanced data manipulation and analysis preferred
  • Portfolio or examples of impactful dashboard design that go beyond standard BI reporting (emphasis on storytelling and usability)
  • Comfortable working in fast-paced, in-office environments that require real-time collaboration and rapid iteration
  • Able to prioritize speed and business needs in time-sensitive situations, balancing "good enough now" vs. "perfect later"
  • Technically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies
TicketManager Highlights:
  • Compensation: $80,000-$100,000 base salary + Variable Compensation
  • Location: Calabasas, CA (HQ), New York City, NY, or Mesa, AZ
  • Reports to: COO
  • Work Expectations: Role is In-Office, Monday-Friday
  • Retirement: 401(k) & Company Match
  • Health Benefits: Medical, Dental, Vision & Chiropractic
  • Time Off: Unlimited PTO
  • Interview Process: Multistage interview process with senior leaders across TicketManager to ensure strong alignment on role scope and expectations.
  • Events: Quarterly live event credits (we practice what we preach!), monthly happy hours, and volunteering
  • Perks: Fun, collaborative, in-office culture at our HQ with catered lunches and big company perks with the autonomy of a high-growth startup.
  • Recognition: Inc. 5000 fastest-growing private company by Inc. Magazine six years in a row. Recognized as one of the Best Places to Work by Inc. Magazine, The LA Business Journal, and Sports Business Journal
  • 4.5 out of 5 Glassdoor rating
  • Used by over 4,000 globally known companies including ~15% of the Fortune 500

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