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Entry Level Formula 1 Data Analyst Jobs (NOW HIRING)

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst ... least one data visualization tool Basic knowledge of statistics Strong analytical and problem ...

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 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 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

22519-1 Data Analyst Level 3 Description: Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage in an engineering ...

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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 Sep 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.

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 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 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.

Can I be an Entry Level Formula 1 Data Analyst with no experience?

Entry Level Formula 1 Data Analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, but prior experience is not always mandatory. Candidates often need strong analytical skills, a relevant degree, and the ability to learn quickly in a fast-paced environment. Internships or certifications in data analysis can improve chances of entry without extensive experience.
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Infographic showing various Entry Level Formula 1 Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Entry-Level Data Analyst

Dallas, TX • On-site

Dhalite Inc.
11 - 50 employees

Other

Posted 17 days ago


Job description

Job Title: Entry-Level Data Analyst


Summary

We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support business decisions. This role is ideal for entry level candidates who want to start a career in data analytics.

Responsibilities

Collect and organize data from different data sources.
Clean and prepare datasets for analysis.
Analyze data to identify trends and insights.
Create dashboards and visual reports using Microsoft Power BI
Write SQL queries to extract data from databases like MySQL
Prepare weekly or monthly performance reports.
Support senior analysts with data analysis projects.


Qualifications

Bachelor s degree in Data Science, Computer Science, Economics,
0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting
Familiarity with at least one data visualization tool
Basic knowledge of statistics
Strong analytical and problem-solving skills
Good communication skills to present data insights clearly
Attention to detail and ability to work with large datasets