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Full Time Formula 1 Data Analyst Jobs (NOW HIRING)

Data Analyst - New York, NY Location : New York, NY Duration : 12 months Only ON W2 No C2C ... There are 2 data platforms; an older one being deprecated and a new one. Each has its own domain ...

Data Analyst

New York, NY · On-site

$130K - $170K/yr

We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers ... that work inside one of the fastest-growing AI startups while digging deeply into data to ...

Senior Data Analyst - Card

Mclean, VA · On-site

$86K - $109K/yr

Senior Data Analyst - Card At Capital One, data is at the center of everything we do. When we ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Senior Data Analyst - Commercial

Mclean, VA

$86K - $109K/yr

Senior Data Analyst - Commercial At Capital One, data is at the center of everything we do. When we ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

New

Senior Data Analyst - Card

Mclean, VA · On-site

$86K - $109K/yr

Senior Data Analyst - Card At Capital One, data is at the center of everything we do. When we ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

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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 Jul 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 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 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.

How much do F1 data analysts make?

F1 data analysts typically earn between $60,000 and $120,000 annually, depending on experience, location, and the team they work for. Senior analysts with specialized skills in data visualization, programming, and motorsport analytics can earn higher salaries, especially in prominent teams or organizations.

How much do F1 analysts make?

Full-time F1 data analysts typically earn between $50,000 and $100,000 annually, depending on experience, location, and the team or organization they work for. Senior analysts or those with specialized skills in data analysis tools and motorsport knowledge may earn higher salaries. Compensation can also include bonuses and benefits related to performance and company policies.

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 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.

How to become a F1 data analyst?

To become a full-time F1 data analyst, candidates typically need a strong background in data analysis, statistics, or engineering, along with proficiency in programming languages such as Python or R and experience with data visualization tools. Knowledge of motorsport or racing analytics is advantageous, and relevant internships or experience in sports or automotive industries can improve prospects. A bachelor's degree in a related field is often required, with advanced degrees or certifications providing additional opportunities.

Can a data analyst work in F1?

A data analyst can work in Formula 1 by analyzing race data, telemetry, and performance metrics to support team strategies. Skills in data visualization, programming, and knowledge of motorsport are essential, often requiring familiarity with tools like Python, R, and SQL. Such roles typically demand a strong understanding of racing dynamics and the ability to work under tight deadlines in a high-pressure environment.
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:
Principal Data Analyst - Finance

Principal Data Analyst - Finance

Capital One

Mclean, VA • On-site

Full-time

Posted 20 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Principal Data Analyst - Finance

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management:

Innovation

  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

  • Drive analysis that provides meaningful insights on business strategies

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

  • Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline

  • Scripting experience in (Python, R, Spark, and SQL)

  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

  • Experience utilizing and developing within AWS services

Basic Qualifications

  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 3 years of experience working with at least one scripting language

  • At least 3 years of experience utilizing a business intelligence visualization tool

  • At least 3 years of experience in querying, analyzing and working with data languages and platforms

Preferred Qualifications:

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 4 years of experience coding in Python, R, Spark, or SQL

  • At least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.

  • At least 2 years of experience utilizing and developing within AWS services

  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $131,300 - $149,800 for Principal Data Analyst


Richmond, VA: $119,400 - $136,200 for Principal Data Analyst










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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