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Internship F1 Data Analyst Jobs in Springfield, NJ

Handsโ€‘on experience turning raw data into analysis used in live mandates. * Exposure to deal processes and financial modelling workflows. * Skill growth with Excel, data wrangling and visualisation ...

New

... work, internship, or project experience in an analytics role Familiarity with major US federal ... of geospatial data and performing common spatial manipulations (intersects, centroids ...

... work, internship, or project experience in an analytics role Familiarity with major US federal ... of geospatial data and performing common spatial manipulations (intersects, centroids ...

... work, internship, or project experience in an analytics role Familiarity with major US federal ... of geospatial data and performing common spatial manipulations (intersects, centroids ...

Product Data Analyst

New York, NY ยท Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) * SQL fluency -- complex joins, incremental computation, window functions ...

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

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Internship F1 Data Analyst information

See Springfield, NJ salary details

$20

$46

$79

How much do internship f1 data analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship f1 data analyst in Springfield, NJ is $46.18, according to ZipRecruiter salary data. Most workers in this role earn between $31.78 and $57.60 per hour, depending on experience, location, and employer.

What is an Internship F1 Data Analyst?

Internship F1 Data Analysts are students or early-career professionals who assist Formula 1 teams or affiliated organizations by collecting, processing, and interpreting complex data related to car performance, race strategies, and engineering developments. They work under the supervision of experienced analysts, using tools like MATLAB, Python, and specialized motorsport software. Their role often involves creating visualizations, preparing reports, and helping the team make data-driven decisions during races and development cycles. This internship is a valuable opportunity to gain hands-on experience in motorsport analytics and understand the technical aspects of F1 racing.

What are the typical projects and responsibilities for an Internship F1 Data Analyst, and how do they contribute to the team's performance?

As an Internship F1 Data Analyst, you will often be tasked with collecting, cleaning, and analyzing large sets of telemetry and performance data from the cars during testing sessions, practice runs, and races. You may assist in developing data visualization tools and reporting dashboards to help engineers and strategists make real-time decisions. Collaboration is key, as you'll work closely with engineers, race strategists, and software developers to turn raw data into actionable insights. Your contributions directly impact race strategies, car setup optimizations, and overall team performance, making this a dynamic and rewarding role.

What are the key skills and qualifications needed to thrive as an Internship F1 Data Analyst, and why are they important?

To thrive as an Internship F1 Data Analyst, you need a strong background in data analysis, statistics, and familiarity with motorsport engineering concepts, typically supported by coursework in computer science, engineering, or mathematics. Experience with data analysis tools such as Python, MATLAB, SQL, and race simulation software is highly valued, along with proficiency in Microsoft Excel. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and collaborate with technical teams. These skills are essential for extracting actionable insights from complex race data and contributing to performance improvements in a fast-paced Formula 1 environment.

What is the difference between Internship F1 Data Analyst vs Data Analyst?

AspectInternship F1 Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data-related fields; internship experienceBachelor's degree or higher in data science, statistics, or related fields
Work EnvironmentInternship setting, often part-time or temporary, in corporate or financial sectorsFull-time professional role in various industries such as finance, healthcare, or tech
Employer & Industry UsageUsed by companies to train and evaluate potential future employees, common in finance and consultingEstablished role for analyzing data, generating reports, and supporting decision-making

The main difference is that an Internship F1 Data Analyst is a temporary, training-focused position for students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone into the data analysis field, whereas Data Analysts are expected to independently handle data projects and contribute to organizational goals.

What job categories do people searching Internship F1 Data Analyst jobs in Springfield, NJ look for?

The top searched job categories for Internship F1 Data Analyst jobs in Springfield, NJ are:

What cities near Springfield, NJ are hiring for Internship F1 Data Analyst jobs?

Cities near Springfield, NJ with the most Internship F1 Data Analyst job openings:

Infographic showing various Internship F1 Data Analyst job openings in Springfield, NJ as of August 2026, with employment types broken down into 15% Internship, 70% Full Time, and 15% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $96,060 per year, or $46.2 per hour.

Data Analyst Internship

FDR Financial Group

New York, NY โ€ข Remote

Full-time

Re-posted 2 days ago


Job description

Description

We are looking for a Data Analyst Intern to join FDR Financial Group, a leading financial services company. As a Data Analyst Intern, you will play a crucial role in analyzing and interpreting complex data sets to help drive business decisions and strategies. This internship offers a valuable opportunity to gain hands-on experience in the financial industry and develop essential analytical skills.

As a Data Analyst Intern at FDR Financial Group, you will work on a variety of projects involving data collection, cleansing, and visualization. Your insights and recommendations will directly impact the company's operations and contribute to its overall success. This role is ideal for individuals interested in data analysis, financial services, and gaining practical experience in a dynamic remote work environment.

Responsibilities:
  • Collect and analyze data to identify trends and patterns.
  • Assist in preparing reports and presentations based on data findings.
  • Collaborate with team members to support data-driven decision-making processes.
  • Conduct quality assurance checks on data to ensure accuracy and reliability.
  • Utilize data visualization tools to present information in a clear and concise manner.
  • Assist in developing and maintaining databases for data storage and retrieval.
  • Support the implementation of data analytics solutions and strategies.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Pursuing a degree in Data Science, Statistics, Mathematics, Economics, or related field.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Proficiency in data analysis tools such as Excel, SQL, or Python.
  • Excellent attention to detail and accuracy in data interpretation.
  • Ability to work independently and collaboratively in a team environment.
  • Good communication skills to present findings and insights effectively.
  • Basic understanding of financial concepts and terminology is a plus.
  • Strong problem-solving skills and a proactive attitude towards learning.