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Internship Nfl Data Analyst Jobs in Basking Ridge, NJ

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

... Analytics, Computer Science, or a related field; internships and academic projects are considered * Foundational knowledge of SQL , including joins, filtering, aggregations, and querying relational ...

Accenture

Data Protection, A/SA-Evergreen

New York, NY · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

On Location

Product & Pricing Analyst

New York, NY

... NFL, NCAA, UFC, WWE, and PGA of America, the company also owns and operates a number of its own ... What You'll Do This is a hands-on, high-impact role for a data-and-tools enthusiast who wants to ...

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Internship Nfl Data Analyst information

See Basking Ridge, NJ salary details

$12

$23

$43

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

As of Aug 23, 2026, the average hourly pay for internship nfl data analyst in Basking Ridge, NJ is $23.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.29 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.

What job categories do people searching Internship Nfl Data Analyst jobs in Basking Ridge, NJ look for?

The top searched job categories for Internship Nfl Data Analyst jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Internship Nfl Data Analyst jobs?

Cities near Basking Ridge, NJ with the most Internship Nfl Data Analyst job openings:

Internship Nfl Data Analyst jobs near you

Data Engineer

Lawrence Harvey

Iselin, NJ • On-site

$88K - $105K/yr

Full-time

Posted 13 days ago

Job description

Data Engineer | Metropark, New Jersey
Hybrid | $88,000-$105,000 Base + Bonus
We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern data pipelines and cloud-based data infrastructure.
This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks, Apache Spark, PySpark, and modern lakehouse architecture.
Key Responsibilities
  • Support the development and maintenance of data pipelines across Bronze, Silver, and Gold medallion architecture layers
  • Ingest and organize raw data within the Bronze layer
  • Support data cleansing, deduplication, validation, and schema enforcement within the Silver layer
  • Develop SQL and PySpark transformations based on defined business and technical requirements
  • Assist with data quality, testing, monitoring, and troubleshooting of pipeline jobs
  • Work with structured and semi-structured data within cloud-based data environments
  • Collaborate closely with senior data engineers to learn and apply modern data engineering practices
  • Contribute to scalable and reliable data solutions using version-controlled development practices

Required Qualifications
  • 0-2 years of experience in Data Engineering, Analytics, Computer Science, or a related field; internships and academic projects are considered
  • Foundational knowledge of SQL, including joins, filtering, aggregations, and querying relational data
  • Experience with Python and an understanding of basic object-oriented programming concepts
  • Understanding of core data concepts, including tables, schemas, relational databases, and data structures
  • Familiarity with Git or demonstrated ability to quickly learn version-control practices
  • Strong interest in developing expertise across Databricks, Spark, and cloud technologies
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications
  • Exposure to Databricks, Apache Spark, or PySpark
  • Understanding of Delta Lake or medallion architecture
  • Experience with Azure, AWS, or GCP
  • Databricks certification
  • Exposure to BI, reporting, or data visualization tools
  • Academic or project experience building data pipelines or working with data transformation workflows

Compensation & Work Arrangement
Salary: $88,000-$105,000 base salary + discretionary bonus
Work Arrangement: Hybrid
This is an excellent opportunity for an early-career professional looking to develop a strong foundation in data engineering, cloud data platforms, Databricks, Spark, and lakehouse architecture while working alongside experienced engineers.
Interested in learning more? Apply directly or reach out to j.valderrama@lawrenceharvey.com for additional information.
Data Engineer | Hybrid | Metropark, New Jersey

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