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Entry Level Formula 1 Data Analyst Jobs (NOW HIRING)

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The ...

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The ...

Senior Data Analyst - Card

Richmond, VA

$85K - $107K/yr

Senior Data Analyst - Card 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 ...

Senior Data Analyst - Card

Mclean, VA

$86K - $109K/yr

Senior Data Analyst - Card 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 ...

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 launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

Sr. Data Analyst - Enterprise Risk

Mclean, VA · On-site

$86K - $109K/yr

Sr. Data Analyst - Enterprise Risk 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 ...

Sr. Data Analyst - Enterprise Risk 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 ...

Senior Data Analyst - Retail Bank 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 ...

Senior Data Analyst - Retail Bank

Mclean, VA · On-site

$86K - $109K/yr

Senior Data Analyst - Retail Bank 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 ...

Sr. Data Analyst - Enterprise Risk 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 ...

Senior Data Analyst - Retail Bank 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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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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Data Analyst 1

CooperCompanies

West Henrietta, NY • On-site

$28K/yr

Full-time

Posted 19 days ago


Job description


At CooperVision, a division of CooperCompanies, we're driven by a unifying purpose to help people to experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com.
Job Summary
Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The position focuses primarily on data collection and visual design activities, with exposure to less complex data analysis and reporting. Visual design may include reworking graphs, applying dashboard templates, and other responsibilities as assigned. This role may also support data recalibrations on a six-month cadence (in Tableau or Excel). The role works under the guidance of senior analysts and follows established metrics and reporting standards to execute tasks. Clear communication, attention to detail, and willingness to learn are essential for success.
Responsibilities
Essential Functions & Accountabilities:
  • This role focuses on performing basic data analysis, preparing simple reports and visualizations, working on minor tickets (break/fixes, investigations, etc.), and providing support to senior analysts as needed.
  • Additional responsibilities include collecting, organizing, and validating distribution data to ensure accuracy, completeness, and alignment with established data quality standards and procedures, and visual design within Tableau Desktop, with the goal of enhancing data storytelling and supporting consistent reporting. Visual design includes rebuilding visuals for straightforward reports or developing templates that help senior analysts deliver standardized reporting.

Travel:
  • Occasional travel may be required (5-10%+ annually). This is an on-site position requiring daily in-office attendance Monday through Friday, and as needed.

Qualifications
Knowledge, Skills and Abilities:
Required:
  • Minimum of 2 years of relevant experience in data collection, data entry, reporting, or analytics support, or
  • Associate degree with 1 or more years of relevant experience, or
  • Bachelor's degree in a related field is preferred, including Data Analytics, Data Science, Computer Science, Mathematics, or Information Technology.
  • Relevant experience with data collection or data entry required.
  • Preferred experience in a warehouse setting or manufacturing.
  • Proficiency in Microsoft Excel, including data organization and basic analysis functions.
  • 0 to 1+ years of experience in SQL (writing simple queries, including joins, filtering, and aggregation).
  • Basic understanding of analytics (statistical analysis, pattern recognition, data interpretation, problem-solving).
  • Proficiency in Microsoft Office (Word, SharePoint, etc.)
  • Willingness to follow standardized departmental, project management, and IT processes.
  • Ability to work within a team environment.
  • Excellent verbal and written communication skills.

Preferred
  • 0 to 3+ years of experience in Tableau Desktop or PowerBI (or an equivalent data visualization tool).
  • Experience in Tableau Prep or Alteryx.
  • Experience writing scripts using Microsoft PowerShell.

Work Environment
  • On-site, 5 days a week
  • Relevant experience with data collection or data entry required.
  • Preferred experience in a warehouse setting or manufacturing.

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $28,307.00 and $77,743.00 per year and may include cost of living adjustments. The actual base pay includes many factors and is subject to change and modification in the future. This position may also be eligible for other types of compensation and benefits.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.