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Entry Level F1 Data Analyst Jobs (NOW HIRING)

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc ...

Entry-Level Software Programmer SYNERGISTIC wants every candidate to know we are always here to ... data analysts/data scientists. Who Should Apply Recent IT graduates looking to make their careers ...

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Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

Understanding of machine learning principles, algorithms, and implementation. โ€ข Analytical Thinking: Ability to interpret complex data, identify patterns, and make data-driven decisions. โ€ข ...

Data analyst I

Austin, TX ยท 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 ...

For entry-level job seekers to get client interviews and jobs they need to differentiate themselves ... Gartner Data Analytics Summit (Florida). Oracle Cloud World Event (OCW) Las Vegas 2022 ...

Data Analyst SYNERGISTICIT wants every job seeker to be aware that the job market is challenging ... a junior or entry-level position the additional skills and project work are the only way a ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full-time positions ...

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Entry Level F1 Data Analyst information

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How much do entry level f1 data analyst jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for entry level f1 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 are some common challenges faced by entry level F1 Data Analysts, and how can they overcome them?

Entry level F1 Data Analysts often face challenges such as understanding complex telemetry data, adapting to fast-paced race environments, and effectively communicating insights to technical and non-technical team members. Overcoming these challenges involves staying updated with the latest data analysis tools, actively seeking mentorship from experienced analysts or engineers, and honing communication skills to present findings clearly. Collaborating closely with race engineers and participating in team briefings will also help new analysts quickly adapt and contribute meaningfully to the team's performance.

What are the key skills and qualifications needed to thrive as an Entry Level F1 Data Analyst, and why are they important?

To thrive as an Entry Level F1 Data Analyst, you need a solid background in statistics, data analysis, and a relevant degree such as mathematics, engineering, or computer science. Familiarity with data analysis tools like Python, MATLAB, SQL, and motorsport-specific telemetry systems is typically required. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively make candidates stand out. These skills are crucial for accurately interpreting race data, informing team strategies, and delivering actionable insights in a high-pressure motorsport environment.

What does an Entry Level F1 Data Analyst do?

An Entry Level F1 Data Analyst is responsible for collecting, processing, and interpreting data related to Formula 1 racing teams' performance. They work with large datasets from car sensors, race simulations, and telemetry to provide insights that help engineers and strategists make informed decisions. Typical tasks include creating reports, visualizing data trends, and assisting with predictive modeling to optimize race strategies. Their work supports continuous improvement in car performance, race tactics, and overall team competitiveness.

What is the difference between Entry Level F1 Data Analyst vs Entry Level Data Analyst?

AspectEntry Level F1 Data AnalystEntry Level Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of data analysis toolsBachelor's degree in relevant field; similar foundational skills
Work EnvironmentFinancial services, banking, or insurance industries; often in corporate officesVarious industries including finance, healthcare, retail; office settings
Employer & Industry UsageUsed by companies regulated by F1 licensing, primarily in finance sectorsWidely used across multiple industries without specific licensing

The Entry Level F1 Data Analyst and Entry Level Data Analyst roles share similar educational backgrounds and work environments. However, the F1 designation indicates a focus on financial services with specific licensing requirements, making it more specialized within the finance industry. Both roles are suitable for recent graduates seeking entry-level positions in data analysis.

More about Entry Level F1 Data Analyst jobs
What cities are hiring for Entry Level F1 Data Analyst jobs? Cities with the most Entry Level F1 Data Analyst job openings:
What are the most commonly searched types of F1 Data Analyst jobs? The most popular types of F1 Data Analyst jobs are:
What states have the most Entry Level F1 Data Analyst jobs? States with the most job openings for Entry Level F1 Data Analyst jobs include:
Infographic showing various Entry Level F1 Data Analyst job openings in the United States as of June 2026, with employment types broken down into 12% Internship, 9% Full Time, 44% Temporary, and 35% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Entry Level Data Analyst

Entry Level Data Analyst

CCS Global Tech

Austin, TX โ€ข On-site

Other

Posted 4 days ago


Job description

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.


Responsibilities

  • Understand the day-to-day issues that our business faces, which can be better understood with data
  • Compile and analyze data related to business' issues
  • Develop clear visualizations to convey complicated data in a straightforward fashion


Qualifications


  • Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
  • 1 - 2 years' Data Analysis experience
  • Proficient in SQL