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Full Time Formula 1 Data Analyst Jobs (NOW HIRING)

Key Responsibilities 1. Data Product Ownership & Quality Assurance * Own analytics-ready datasets ... High attention to detail and a proactive ownership mindset Responsibilities Location * Full-time ...

Job Title: Data Analyst III Location: San Francisco, CA or Seattle, WA (3 days onsite, PST time ... formula creation to automate recurring data refreshes. * Execute routine data exports and transfers ...

This is a fulltime role. The employer is unable to sponsor or accept candidates who are on Work visa. * Interpret data, clean and analyze results using statistical techniques and provide ongoing ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... least one data visualization tool or package (Tableau, PowerBI, LookerStudio/Data Studio Plot.ly ...

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Full Time Formula 1 Data Analyst information

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$34K

$82.6K

$136K

How much do full time formula 1 data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for full time formula 1 data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a full time Formula 1 data analyst do?

A Full Time Formula 1 Data Analyst is responsible for collecting, processing, and interpreting large sets of data generated during races, practice sessions, and testing. They analyze telemetry, tire performance, fuel usage, and other metrics to provide actionable insights to the engineering and strategy teams. Their work helps optimize car performance, improve race strategy, and ensure competitive advantage. They often use advanced statistical methods and specialized software to turn raw data into meaningful information for the team.

What are the typical challenges faced by a full time Formula 1 data analyst during a race weekend?

A Full Time Formula 1 Data Analyst often faces high-pressure situations during race weekends, where quick decision-making and accurate data interpretation are crucial. Managing vast streams of real-time telemetry, weather, and competitor data can be challenging, especially as conditions change rapidly. Analysts must work closely with engineers, strategists, and drivers to provide actionable insights that can influence race strategy. Balancing the need for speed and accuracy, while collaborating in a fast-paced, team-oriented environment, is a key part of the role.

What are the key skills and qualifications needed to thrive as a full time Formula 1 data analyst, and why are they important?

To thrive as a Full Time Formula 1 Data Analyst, you need a strong background in mathematics, physics, and engineering, often supported by a relevant degree and experience in motorsports analytics. Proficiency in data analysis tools like MATLAB, Python, and specialized telemetry systems is typically required, alongside familiarity with simulation software. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for interpreting complex data and collaborating with race engineers and drivers. These capabilities are crucial for extracting actionable insights that enhance race performance and provide a competitive edge.

What is the difference between Full Time Formula 1 Data Analyst vs Full Time Motorsport Data Analyst?

AspectFull Time Formula 1 Data AnalystFull Time Motorsport Data Analyst
Required CredentialsDegree in Data Science, Engineering, or related field; experience with motorsport dataSimilar credentials; often includes motorsport-specific certifications or experience
Work EnvironmentF1 teams, high-pressure, fast-pacedMotorsport teams, varied racing series
Industry UsagePrimarily in Formula 1 racingAcross various motorsport disciplines like NASCAR, WRC, etc.

Both roles involve analyzing racing data to improve performance, but a Full Time Formula 1 Data Analyst specializes in F1-specific data and environments, while a Full Time Motorsport Data Analyst works across multiple racing series with broader industry applications.

Can a full time Formula 1 Data Analyst work in F1?

A full-time Formula 1 Data Analyst works within the F1 industry, analyzing race data, telemetry, and performance metrics to support team strategies. They typically require strong skills in data analysis, programming, and familiarity with motorsport environments, often working during race weekends and team operations. This role is essential for optimizing car performance and race outcomes in F1 teams.

Is it hard to get full time formula 1 data analyst jobs?

Securing a full-time Formula 1 data analyst position can be competitive due to the specialized skills required, such as proficiency in data analysis tools, programming languages, and understanding of motorsport data. Candidates often need relevant experience, a strong educational background in data science or engineering, and a passion for motorsport to stand out in the hiring process.

What cities are hiring for Full Time Formula 1 Data Analyst jobs?

Cities with the most Full Time Formula 1 Data Analyst job openings:

What are the most commonly searched types of Formula 1 Data Analyst jobs?

The most popular types of Formula 1 Data Analyst jobs are:

What states have the most Full Time Formula 1 Data Analyst jobs?

States with the most job openings for Full Time Formula 1 Data Analyst jobs include:

What are popular job titles related to Full Time Formula 1 Data Analyst jobs?

For Full Time Formula 1 Data Analyst jobs, the most frequently searched job titles are:

Research Data Analyst (Epidemiology)

Baltimore, MD • Remote

Johns Hopkins University
Colleges, Universities, and Professional Schools • 10K+ employees

$49K - $86K/yr

Full-time

Posted 19 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz


Job description

We are seeking a Research Data Analyst who will provide data analysis and related activities for various types of research projects and studies. The Research Data Analyst will contribute to ongoing development, maintenance, and use of a research data pipeline that collects and analyzes data. Specific Duties & Responsibilities Collect data and generate reports and models.

Run models, analyze model results, and prepare reports on the analysis. Conduct analyses in support of the assigned research project or study. Conduct statistical analyses using standard and statistical software packages.

Design and prepare tables to illustrate analytic findings. Manage or contribute to entry of data in the assigned database. May engage in other research related responsibilities.

Other duties as assigned. In addition to the duties described above Travel to four clinics throughout the National Capital Region to assist with recruitment of research participants in diabetes prevention programs. Minimum Qualifications Bachelor's Degree in a related field.

Three years of related experience. Additional education may substitute for required experience to the extent permitted by the JHU equivalency formula. Technical Skills & Expected Level of Proficiency Data Management and Analysis - Developing Data Pipeline Architecture & ETL/ELT Development - Developing Data Visualization - Developing Programming Languages - Developing Reproducible Research Practices - Developing Research Methodology - Developing Statistical Modeling - Developing Statistical Programming - Developing The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified Title: Research Data Analyst Role/Level/Range: ACRP/04/MC Starting Salary Range: $49,200 - $86,200 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: 9:00am - 5:00pm FLSA Status: Exempt Location: Remote Department name: Epidemiology Personnel area: School of Public Health


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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876