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Entry Level Formula 1 Data Analyst Jobs (NOW HIRING)

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Strong data analysis and profiling skills. * Strong knowledge of SQL needed to support data analysis and testing. * Ability to collect, translate, and document complete and effective requirements ...

DIRECTV Advertising is looking for a data analyst to make an immediate impact by supporting the ... Taking on analytical projects and ad-hoc requests as needed Qualifications: * Entry level ...

Data Analyst 1 Location: Fort Worth TX Duration: 3+ Months Job Type: Contract Maximum Submissions per Supplier : 5 Note : Benefits: Medical, dental, vision, 401K. Top 3 Keywords: 1- Process ...

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Bachelor's degree PLUS one (1) year of similar relevant experience OR Minimum of 2-4 years ...

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Bachelor's degree PLUS one (1) year of similar relevant experience OR Minimum of 2-4 years ...

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Bachelor's degree PLUS one (1) year of similar relevant experience OR Minimum of 2-4 years ...

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Bachelor's degree PLUS one (1) year of similar relevant experience OR Minimum of 2-4 years ...

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Entry Level Formula 1 Data Analyst information

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

As of Jul 11, 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 strong analytical thinking and a willingness to learn on the job.

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.

How to get a job in F1 with no experience?

Entry level F1 data analyst roles typically require strong analytical skills, proficiency in data analysis tools like Excel, SQL, or Python, and a solid understanding of motorsport or engineering concepts. Gaining relevant certifications, building a portfolio of data projects, and networking within the motorsport industry can improve chances of securing such a position without prior experience.

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 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 vehicle 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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Senior Data Analyst - Enterprise Marketing and Messaging Analytics

Senior Data Analyst - Enterprise Marketing and Messaging Analytics

Capital One

Mclean, VA • On-site

$87K - $108K/yr

Full-time

Posted 10 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

75th of 148 rated banks


Job description

Senior Data Analyst - Enterprise Marketing and Messaging Analytics

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 by 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 Snowflake 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 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 1 year of experience working with at least one scripting language

  • At least 1 year of experience utilizing business intelligence visualization tool

  • At least 1 year of experience querying, analyzing and working with data languages and platforms

Preferred Qualifications:

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

  • At least 2 years of experience coding in Python, R, Spark, or SQL

  • At least 2 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.

  • At least 1 year of experience utilizing and developing within AWS services

  • At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

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: $111,200 - $126,900 for Sr. Data Analyst


Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst


Chicago, IL: $101,100 - $115,400 for Sr. 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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