ZipRecruiter

Log In

2

Entry Level F1 Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Accenture

Data Protection Sr. Analyst

Raleigh, NC · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

TEKsystems

Reimbursement Analyst

Cary, NC · Hybrid

$19.45/hr

Description - Perform detailed data analyses across the portfolio to determine which expenses are ... Experience Level Entry Level Job Type & Location This is a Contract to Hire position based out of ...

Bandwidth

Product Analyst

Raleigh, NC · On-site

Bandwidth is seeking a data-driven, collaborative, and detail-oriented individual to join the ... Experience : * Entry level * Knowledge : * Proficiency in Excel, including pivot tables, lookup ...

next page

Showing results 1-20

All JobsF1 Data Analyst JobsEntry Level F1 Data Analyst JobsEntry Level F1 Data Analyst Jobs in Raleigh, NC

Entry Level F1 Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

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

As of Jun 9, 2026, the average hourly pay for entry level f1 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 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.

How much does a F1 data analyst make?

Entry-level F1 data analysts typically earn between $50,000 and $70,000 annually, depending on experience, location, and the employer. Salaries can increase with additional skills in data analysis tools like SQL, Python, or R, and relevant certifications.
What are the most commonly searched types of F1 Data Analyst jobs in Raleigh, NC? The most popular types of F1 Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Entry Level F1 Data Analyst jobs in Raleigh, NC? For Entry Level F1 Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level F1 Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Entry Level F1 Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level F1 Data Analyst jobs? Cities near Raleigh, NC with the most Entry Level F1 Data Analyst job openings:
Entry Level F1 Data Analyst jobs near you
junior software programmer fullstack/Data Engineer - Remote

junior software programmer fullstack/Data Engineer - Remote

SynergisticIT

Chapel Hill, NC • On-site, Remote

$95K - $114K/yr

Other

Posted yesterday

Job description

Get Hired with a Process!

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they're just being more selective. That means only the most prepared, polished, and employer‐ready candidates get through. If you've sent out hundreds—maybe thousands—of applications and your inbox is still silent, it doesn't mean you're not capable. It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solves—because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Walmart Labs, Banking, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove. Here's the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.

What roles are in demand right now? A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/AI based on what employers repeatedly request.

Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations:

  • You have skills, but your resume doesn't show impact and your projects look generic
  • You know tools, but you can't explain them confidently in interviews
  • You've learned from courses, but you lack real-world structure and job alignment
  • You've built a portfolio, but it doesn't match what hiring managers evaluate

SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).

You don't need more random applications. You need a job-ready plan. Start smarter—start with the right support.

Apply