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Entry Level F1 Data Analyst Jobs in Naperville, IL

Chicago, IL, United States (On-site) Employment Type: Full-time Seniority Level: Entry Level Job Summary We are seeking a detail-oriented and analytical Data Analyst to join our growing team. This ...

Business Data Analyst

Naperville, IL ยท On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Review financial data across systems for accuracy and completeness and help resolve discrepancies when they arise. * Support client finance inquiries, billing questions and invoice follow-up in ...

Data Protection, A/SA-Evergreen

Chicago, IL ยท On-site

$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.

Data Protection, A/SA-Evergreen

Chicago, IL ยท On-site

$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.

Data Protection, A/SA-Evergreen

Chicago, IL ยท On-site

$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.

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Entry Level F1 Data Analyst information

See Naperville, IL salary details

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$61

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

As of Sep 8, 2026, the average hourly pay for entry level f1 data analyst in Naperville, IL is $32.88, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $36.73 per hour, depending on experience, location, and employer.

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 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 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 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.

Can I become an entry level F1 data analyst with no experience?

Entry level F1 data analyst roles typically require some foundational skills in data analysis, such as proficiency in Excel, SQL, or Python, but many employers are willing to consider candidates with little to no professional experience if they demonstrate strong analytical abilities and a willingness to learn. Completing relevant coursework, certifications, or internships can improve your chances of qualifying for such positions. Entry-level roles often focus on training and skill development on the job.

What are popular job titles related to Entry Level F1 Data Analyst jobs in Naperville, IL?

For Entry Level F1 Data Analyst jobs in Naperville, IL, the most frequently searched job titles are:

What cities near Naperville, IL are hiring for Entry Level F1 Data Analyst jobs?

Cities near Naperville, IL with the most Entry Level F1 Data Analyst job openings:

Infographic showing various Entry Level F1 Data Analyst job openings in Naperville, IL as of June 2026, with employment types broken down into 6% Internship, 19% Full Time, 28% Part Time, 26% Temporary, and 21% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,385 per year, or $32.9 per hour.

Data Analyst

MaximaTek

Chicago, IL โ€ข On-site

Other

Re-posted 3 days ago


Job description

Data Analyst (0โ€“3 Years Experience | Freshers Welcome)

Location: Chicago, IL, United States (On-site)

Employment Type: Full-time

Seniority Level: Entry Level

Job Summary

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. This role is ideal for recent graduates and professionals with 0โ€“3 years of experience who are passionate about working with data, identifying trends, and supporting business decisions through analytics.

As a Data Analyst, you will collect, analyze, and visualize data, create reports and dashboards, and work with cross-functional teams to provide actionable business insights.

Fresh graduates are encouraged to apply.

Key Responsibilities

  • Collect, clean, and analyze data from multiple sources.
  • Develop reports and dashboards using Excel, Power BI, or Tableau.
  • Write SQL queries to retrieve and analyze data.
  • Perform data validation and ensure data accuracy.
  • Identify trends, patterns, and actionable business insights.
  • Create KPI reports and business performance metrics.
  • Collaborate with business teams to understand reporting requirements.
  • Support business intelligence initiatives.
  • Prepare presentations and analytical reports.
  • Maintain documentation for reports and data processes.
  • Assist with ad hoc reporting and analytics requests.

Required Qualifications

  • Bachelor's or Master's degree in:
  • Data Analytics
  • Computer Science
  • Information Technology
  • Information Systems
  • Business Analytics
  • Statistics
  • Mathematics
  • Economics
  • Management Information Systems (MIS)
  • Industrial Engineering
  • Or a related field.
  • 0โ€“3 years of experience.
  • Fresh graduates are encouraged to apply.

Required Skills

  • SQL
  • Microsoft Excel
  • Data Analysis
  • Power BI
  • Tableau
  • Data Visualization
  • Reporting
  • Dashboard Development
  • Data Cleaning
  • Problem Solving

Preferred Skills

  • Python
  • R Programming
  • Power Query
  • ETL
  • MySQL
  • PostgreSQL
  • Microsoft SQL Server
  • Statistics
  • Business Intelligence (BI)
  • Google Sheets

Soft Skills

  • Analytical Thinking
  • Critical Thinking
  • Communication Skills
  • Team Collaboration
  • Attention to Detail
  • Time Management
  • Problem Solving
  • Adaptability
  • Organizational Skills

Education

Bachelor's or Master's Degree in Data Analytics, Computer Science, Information Technology, Information Systems, Business Analytics, Statistics, Mathematics, Economics, Management Information Systems (MIS), Industrial Engineering, or a related field.

Experience

  • 0โ€“3 Years
  • Freshers Welcome