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Internship F1 Data Analyst Jobs in California (NOW HIRING)

Data Analyst

Oakland, CA ยท On-site

$120 - $172/hr

Up to 4 years of experience (including internships) turning large datasets into actionable business ... to data analysis problems. * Understanding of fundamentals of relational databases and data ...

IT Data Analyst Internship 2027

Modesto, CA ยท On-site +1

$26.50 - $28.50/hr

In this summer internship, you'll gain hands-on experience across business systems analysis, data analysis, and developer/programmer opportunities while working with leading technology and software.

IT Data Analyst Internship 2027

Modesto, CA ยท On-site +1

$26.50 - $28.50/hr

In this summer internship, you'll gain hands-on experience across business systems analysis, data analysis, and developer/programmer opportunities while working with leading technology and software.

IT Data Analyst Internship 2027

Modesto, CA ยท On-site

$26.50 - $28.50/hr

In this summer internship, you'll gain hands-on experience across business systems analysis, data analysis, and developer/programmer opportunities while working with leading technology and software.

Junior Data Analyst

Los Angeles, CA ยท On-site +1

$26 - $37/hr

Experience: 0-2 years of experience in a data analysis role or a related internship. Experience in an engineering or consulting environment is a plus. * Skills: * Proficiency in data analysis tools ...

BUSINESS DATA ANALYST 1

Norco, CA ยท On-site

$33.17 - $42.31/hr

Internships and relevant academic experience may be considered. * Foundational knowledge of data visualization and data preparation. * Experience or coursework using Python for data analysis or ...

Lead Business Data Analyst

Menlo Park, CA ยท On-site

$110 - $165/hr

About the Role As a Business Analyst at Hippocratic AI, you will play a key role in driving data ... Exposure to machine learning or AI-related projects (coursework or internships acceptable)

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Showing results 1-20

Internship F1 Data Analyst information

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 California look for?

The top searched job categories for Internship F1 Data Analyst jobs in California are:

What cities in California are hiring for Internship F1 Data Analyst jobs?

Cities in California with the most Internship F1 Data Analyst job openings:

Infographic showing various Internship F1 Data Analyst job openings in California as of August 2026, with employment types broken down into 60% Internship, and 40% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution.

Data Analyst

Menlo Ventures

Oakland, CA โ€ข On-site

$120 - $172/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Transform large datasets into actionable metrics and attributes using SQL and Spark.

  • Explore and develop repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.

  • Advise business teams on implementing scalable, robust telemetry and analytics tracking.


Job description

Everlaw is seeking a Data Analyst to transform raw data into actionable insights. This fullโ€‘time, exempt position is located onsite in Oakland, California, with a hybrid schedule of three days per week in the office.

Responsibilities
  • Familiarize yourself with our technologies, workflows, and codebase through extensive training and product certification.
  • Transform large datasets into actionable metrics and attributes using SQL and Spark.
  • Explore and develop repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.
  • Design and surface metrics that are faithful and precise, helping the business understand how to drive those metrics.
  • Build out the data context layer (schemas, metric definitions, institutional knowledge, etc.) to power agentic analytics workflows.
  • Advise business teams on implementing scalable, robust telemetry and analytics tracking.
Qualifications
  • Bachelorโ€™s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related technical discipline.
  • Up to 4 years of experience (including internships) turning large datasets into actionable business insights.
  • Experience and proficiency in wrangling data using SQL.
  • Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems.
  • Understanding of fundamentals of relational databases and data modeling.
  • Strong foundation of statistical methods and probability theory.
  • Excellent communication and presentation skills, especially in translating technical information to nonโ€‘technical audiences.
  • Preferred: Experience working with openโ€‘source analytics tools such as Airflow or DBT.
  • Preferred: Experience working with distributed processing technologies such as Spark or MapReduce.
  • Preferred: Experience applying machine learning or statistical modeling methods to realโ€‘world problems.
  • Familiar with Git or a similar DVCS.
Benefits
  • Salary range $120,000 โ€“ $172,000 (base pay subject to change).
  • Equity program.
  • 401(k) retirement plan with company matching.
  • Health, dental, and vision insurance.
  • Flexible Spending Accounts for health and dependent care expenses.
  • Paid parental leave and approximately 80 hours (10 days) of sick leave per year.
  • 17 paid vacation days plus 11 federal holidays.
  • Membership to Modern Health for mental health and wellness.
  • Annual allocation for Learning & Development opportunities and applicable professional membership dues.
  • Companyโ€‘sponsored life and disability insurance.

Everlaw is an equalโ€‘opportunity employer. Everlaw prides itself on a diverse workforce and does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender and gender identity of our applicants and employees and honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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