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Entry Level Formula 1 Data Analyst Jobs (NOW HIRING)

Quantix

Data Analyst

Phoenix, AZ

Required Skills: 1) Data analysis of SQL Server databases. 2) T-SQL ability; writing queries. 3) Experience in reporting / analysis of OLAP databases. 4) BI or data visualization experience - PowerBI ...

Quantix

Data Analyst

Phoenix, AZ

Quantix HealthTech serves the specific needs of the healthcare industry and is recognized as one of ... Data Analyst Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an ...

Quantix

Data Analyst

Centennial, CO · On-site

Quantix HealthTech serves the specific needs of the healthcare industry and is recognized as one of ... Data Analyst Location: Centennial, CO Type: Contract Length: 9 months Our client in the Centennial ...

IndSoft Inc

Data Analyst

Framingham, MA · On-site

Data Analyst 1) Data acquisition from all applicable systems 2) Gather requirements for Forms and charts creation to support the project 3) Data analysis as per requirements from team members to ...

IndSoft Inc

Data Analyst

Framingham, MA · On-site

Data Analyst 1) Data acquisition from all applicable systems 2) Gather requirements for Forms and charts creation to support the project 3) Data analysis as per requirements from team members to ...

Remex, Inc

Data Analyst

Skillman, NJ

$18 - $23/hr

... dynamic formula writing * Ability to work with and convert various file types including txt, xml ... Analyze and scrub incoming data files containing consumer information to identify potential errors ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

... dynamic formula writing * Ability to work with and convert various file types including txt, xml ... Analyze and scrub incoming data files containing consumer information to identify potential errors ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

... dynamic formula writing * Ability to work with and convert various file types including txt, xml ... Analyze and scrub incoming data files containing consumer information to identify potential errors ...

Navtech, Inc.

Data Analyst

Manhattan, NY · On-site

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 ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

Capital One

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Senior Data Analyst 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 ...

Capital One

Senior Data Analyst

Richmond, VA · On-site

$85K - $107K/yr

Senior Data Analyst 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 ...

Capital One

Senior Data Analyst

Mclean, VA

$86K - $109K/yr

Senior Data Analyst 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 ...

Capital One

Senior Data Analyst- Enterprise

Chicago, IL · On-site

$88K - $111K/yr

Senior Data Analyst- Enterprise 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 ...

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How much do entry level formula 1 data analyst jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for entry level formula 1 data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What does an Entry Level Formula 1 Data Analyst do?

An Entry Level Formula 1 Data Analyst is responsible for gathering, processing, and analyzing data from various car sensors and race events to help the team improve performance. Their tasks may include monitoring telemetry data, creating reports, and supporting the engineering and strategy teams with actionable insights. They often work under the guidance of senior analysts to learn the intricacies of motorsport data and contribute to race preparation and post-race analysis. This role requires strong analytical skills, attention to detail, and a passion for motorsports.

Can I be a data analyst with no experience?

Entry level data analyst roles, including those in Formula 1 data analysis, often do not require prior professional experience but typically expect familiarity with data tools like Excel, SQL, or Python. Gaining relevant skills through online courses, certifications, or internships can improve your chances of securing such positions. Employers may also value analytical thinking and a strong understanding of data concepts even without work experience.

How much do F1 data analysts make?

Entry-level F1 data analysts typically earn between $50,000 and $70,000 annually, depending on experience, location, and the team. Salaries can increase with specialized skills in data analysis tools, programming languages, and motorsport knowledge.

How does an entry level Formula 1 data analyst typically collaborate with race engineers and other team members during a race weekend?

As an entry level Formula 1 data analyst, you'll work closely with race engineers, mechanics, and senior analysts to interpret live telemetry data and provide actionable insights. During race weekends, you'll be responsible for monitoring data feeds, flagging anomalies, and assisting in performance analysis to help optimize car setup and strategy decisions. Collaboration is fast-paced and communication is key, as you'll frequently participate in briefings and debriefs to share findings and contribute to the team's decisions on car adjustments. This environment fosters rapid learning and offers opportunities to take on more responsibility as you gain experience.

What are the key skills and qualifications needed to thrive as an Entry Level Formula 1 Data Analyst, and why are they important?

To excel as an Entry Level Formula 1 Data Analyst, a strong background in mathematics, statistics, and data analysis—often supported by a degree in engineering, computer science, or a related field—is essential. Proficiency with data analysis tools like MATLAB, Python, and telemetry systems, as well as familiarity with motorsport-specific software, is typically required. Attention to detail, problem-solving abilities, and effective teamwork are standout soft skills in this high-pressure environment. These competencies ensure accurate interpretation of race data, informed decision-making, and optimal team performance during competitive events.

Is 40 too late for data science?

For an entry level Formula 1 data analyst, starting a career in data science at age 40 is possible, as many skills such as programming, statistics, and data visualization can be learned at any age. Success depends on dedication, relevant training, and building a strong portfolio, regardless of age. Employers value skills and experience over age, so continuous learning and practical application are key.

What is the difference between Entry Level Formula 1 Data Analyst vs Entry Level NASCAR Data Analyst?

AspectEntry Level Formula 1 Data AnalystEntry Level NASCAR Data Analyst
Required CredentialsBachelor's in Data Science, Engineering, or related field; knowledge of motorsport analyticsBachelor's in Data Science, Sports Management, or related field; familiarity with racing data
Work EnvironmentHigh-tech F1 teams, international events, fast-pacedNASCAR teams, race tracks, regional to national events
Industry UsageUsed in elite motorsport analytics, focusing on aerodynamics, telemetryUsed in stock car racing analytics, focusing on race strategies, telemetry

Both roles involve analyzing racing data, but F1 Data Analysts typically work with more advanced telemetry and aerodynamics data in a highly competitive, international environment. NASCAR Data Analysts focus on stock car racing strategies and telemetry within a more regional setting. The core skills and educational backgrounds are similar, but the industry focus and work environment differ.

How to get into F1 as a data analyst?

To become an entry-level F1 data analyst, develop strong skills in data analysis, programming (such as Python or R), and data visualization tools. Gaining experience with motorsport data, understanding racing telemetry, and obtaining relevant certifications or a degree in data science, engineering, or a related field can improve your chances of entering the industry.
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Entry Level Formula 1 Data Analyst jobs near you
Infographic showing various Entry Level Formula 1 Data Analyst job openings in the United States as of June 2026, with employment types broken down into 14% Full Time, 84% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Formula 1 Electromagnetic Simulation Engineer

GM Performance Power Units

Concord, NC • On-site

Full-time

Posted 13 days ago

Job description

GM Performance Power Units - Concord, NC
Electromagnetic Simulation Engineer - Onsite
Job Summary
GM Performance Power Units (GM PPU) is seeking a skilled and motivated Electromagnetic Simulation Engineer to join our innovative engineering team in Concord, NC. This role focuses on electromagnetic (EM) simulation, analysis, and optimization of MGU-K electric motors and power electronics for Formula 1 power units. The engineer will support design teams by providing high-fidelity EM modeling to optimize performance, efficiency, losses, thermal loads, and manufacturability.
Key Responsibilities
  • Develop and execute 2D/3D electromagnetic finite element analysis (FEA) models for high power, high speed electric motors using tools like JMAG, Motor-CAD, Ansys Maxwell, or Flux.
  • Perform performance mapping, torque-speed curves, field-weakening analysis, efficiency maps, and loss calculations (copper, iron, eddy current, PM losses).
  • Analyze and optimize designs for high-speed operation (60k+ RPM), high power density, thermal management, and manufacturability constraints.
  • Support transient and harmonic analyses for inverter switching effects, PWM harmonics, and electromagnetic forces.
  • Collaborate with mechanical, thermal, controls, and manufacturing teams to integrate EM results into holistic motor design.
  • Validate simulation results against test data and support motor prototype development and testing.
  • Document analysis methods, results, and recommendations in technical reports and design reviews.
  • Stay current with latest EM simulation methodologies and industry best practices.

Required Qualifications
  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, or related technical field; Master's degree preferred.
  • 3-7 years of experience in electromagnetic simulation for electric motors or machines.
  • Proficiency with commercial EM FEA tools (JMAG, Ansys Maxwell, Motor-CAD, Flux, or equivalent).
  • Strong understanding of electric machine theory, including PMSM/IPMSM design principles, field-weakening, reluctance torque, and loss mechanisms.
  • Experience with performance mapping, efficiency optimization, and thermal-electromagnetic coupling.
  • Proficiency in Python, MATLAB, or similar for post-processing, automation, and data analysis.
  • Ability to work collaboratively in cross-functional teams and communicate technical results effectively.

Desirable Skills
  • Experience in motorsport, F1, high-performance EV, or aerospace electric motor applications.
  • Knowledge of power electronics integration effects on motor performance (inverter harmonics, switching losses).
  • Familiarity with advanced motor topologies (axial flux, hairpin windings, variable flux) and high-speed rotor design.
  • Experience with parametric optimization, DOE, and machine learning-assisted design workflows.
  • Understanding of manufacturing impacts on EM performance (winding factors, material properties, tolerances).
  • Experience correlating simulation with dyno/test data and supporting root cause analysis.

Personal Attributes
  • Analytical mindset with strong problem-solving skills and attention to detail.
  • Proactive and self-motivated with ability to manage multiple priorities.
  • Team player comfortable working in fast-paced, high-performance engineering environment.
  • Passionate about electric machine design and motorsport technology.
  • Effective communicator who can translate complex EM concepts to non-specialists.

Why Join Us
You'll play a pivotal role in ensuring the reliability and performance of a next-generation Formula 1 power unit. Our culture rewards precision, innovation, and the relentless pursuit of performance.
Please note: GM Performance Power Units and all affiliated companies are Equal Opportunity employer(s). Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf.
Only direct hires need apply to or inquire about job postings at GM Performance Power Units. We are not accepting calls, resumes or applications from recruiting firms at this time.

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