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Entry Level Formula 1 Data Analyst Jobs in Raleigh, NC

... one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT ... Data Analyst Minimum Requirements: Proficient in Microsoft Office applications; Outlook, Excel ...

Senior Data Analyst

Cary, NC · On-site

$80K - $101K/yr

TITLE: Senior Data Analyst DUTIES: Produce business and market intelligence by querying data ... We promote a "One WCG" culture where all are welcome, respected, valued, and empowered to make a ...

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and ... From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have ...

One day we could be setting up a burn test and the next, simulating a tornado. And because we're ... Experience in data, and statistical analysis strongly preferred. * Strong in Microsoft Excel and ...

One day we could be setting up a burn test and the next, simulating a tornado. And because we're ... Experience in data, and statistical analysis strongly preferred. * Strong in Microsoft Excel and ...

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Collect, clean, and analyze data from multiple sources * Develop reports, dashboards, and ...

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

This is not a pure data analysis, BI reporting, or one-off scripting role. It is a comprehensive data engineering position focused on data integration, data warehouse development, data platform ...

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

This is not a pure data analysis, BI reporting, or one-off scripting role. It is a comprehensive data engineering position focused on data integration, data warehouse development, data platform ...

Entry Level Data Engineer

Durham, NC · On-site

$103K - $124K/yr

Entry Level Data Engineer We are hiring a Data Engineer to support the design and maintenance of ... with cloud data platforms Support analytics teams Requirements Knowledge of SQL and Python ...

New

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Microsoft Excel Tutor

Raleigh, NC · Remote

$18 - $40/hr

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Microsoft Excel Tutor

Durham, NC · Remote

$18 - $40/hr

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

AI Impact Analyst

Raleigh, NC · On-site

$86K - $138K/yr

The rapidly evolving data landscape necessitates an adaptable and risk-tolerant individual to ... Annual salary is one component of Red Hat's compensation package. This position may also be ...

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Entry Level Formula 1 Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

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

As of Jul 14, 2026, the average hourly pay for entry level formula 1 data analyst in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 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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Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Durham, NC • On-site

Other

Posted 11 days ago


Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.