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Entry Level F1 Data Analyst Jobs (NOW HIRING)

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 ...

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 ยท Collect, clean, and analyze data from multiple sources. ยท Write SQL queries to extract and manipulate data. ยท Create ...

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas, Houston Position ID:J0826-1515 Employment Type: Graduate Position Description: Are you passionate ...

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas, Dallas Position ID:J0826-1518 Employment Type: Graduate Position Description: Are you passionate ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Associate Data Analyst

Orlando, FL ยท On-site

$22 - $24/hr

This opportunity is well suited to entry level candidates interested in data analysis, financial services, compliance, and technology-enabled operations. 4 weeks of training in transaction-monitoring ...

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Entry-Level Job Family: Engineering/Science/Technology Product Service Line: Production ...

DIRECTV Advertising is looking for a data analyst to make an immediate impact by supporting the ... Taking on analytical projects and ad-hoc requests as needed Qualifications: * Entry level ...

This is an entry-level, remote role with a flexible schedule , comprehensive healthcare benefits ... Coursework or projects in data analysis, statistics, or a related field * Familiarity with ...

This is an entry-level, remote role with a flexible schedule , comprehensive healthcare benefits ... Coursework or projects in data analysis, statistics, or a related field * Familiarity with ...

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

Data Analyst

Raleigh, NC ยท On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... Open to entry-level through senior candidates; no minimum or maximum years of experience required ...

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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 Aug 29, 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 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.
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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Entry-Level Data Analyst

Dhalite Inc.

Dallas, TX โ€ข On-site

Other

Posted 4 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