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Entry Level F1 Data Analyst Jobs in Maple Grove, MN

Do you enjoy analyzing processes, collaborating with teams, and using data and AI-enabled tools to ... As an Entry Level Business Analyst, you'll work with cross functional teams to translate business ...

Technical Analyst - Entry Level Category: Software Development/ Engineering Main location: United ... data, integrations, and other technology solutions based on project needs. โ€ข Support testing ...

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 ...

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Contribute to system integration, verification, validation, risk analysis, and data-driven ... Individuals on temporary visa classifications, including E, F1 (CPT or OPT), H1, H2, L, B, J, or TN ...

Contribute to system integration, verification, validation, risk analysis, and data-driven ... Individuals on temporary visa classifications, including E, F1 (CPT or OPT), H1, H2, L, B, J, or TN ...

Contribute to system integration, verification, validation, risk analysis, and data-driven ... Individuals on temporary visa classifications, including E, F1 (CPT or OPT), H1, H2, L, B, J, or TN ...

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Entry Level F1 Data Analyst information

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$13

$33

$63

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

As of Aug 28, 2026, the average hourly pay for entry level f1 data analyst in Maple Grove, MN is $33.71, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $37.64 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 the most commonly searched types of F1 Data Analyst jobs in Maple Grove, MN?

The most popular types of F1 Data Analyst jobs in Maple Grove, MN are:

What are popular job titles related to Entry Level F1 Data Analyst jobs in Maple Grove, MN?

For Entry Level F1 Data Analyst jobs in Maple Grove, MN, the most frequently searched job titles are:

What job categories do people searching Entry Level F1 Data Analyst jobs in Maple Grove, MN look for?

The top searched job categories for Entry Level F1 Data Analyst jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Entry Level F1 Data Analyst jobs?

Cities near Maple Grove, MN with the most Entry Level F1 Data Analyst job openings:

Infographic showing various Entry Level F1 Data Analyst job openings in Maple Grove, MN as of June 2026, with employment types broken down into 11% Internship, 7% Full Time, 45% Temporary, and 37% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,127 per year, or $33.7 per hour.

Entry Level Business Analyst/Data Analyst

Minneapolis, MN โ€ข On-site, Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company Description

National Software Managment an software Development company of USA is focused on developing a comprehensive workplace that utilizes the unique expertise and viewpoints of our worldwide staff. We appreciate the exclusive qualifications, expertise and ability of each worker and accept variations which include gender, kind, faith, incapability, nationality, age group, physical inclination, ethnic background and exclusive style. Being a multinational firm, we know, treasure and regard the distinctiveness of our staff and promote a collaborative work setting with equal potential for all staff members.

Job Description

Job Title: Entry-Level Business Analyst / Data Analyst

Location: United States (Remote / Hybrid options available)
Employment Type: Full-Time

About the Role

We are looking for motivated, detail-oriented individuals who are eager to launch or relaunch their careers in Business Analysis and Data Analysis. This opportunity is ideal for recent graduates, professionals returning to the workforce after a career break, or individuals looking to transition into analytics-driven roles.

You'll work closely with cross-functional teams to gather insights, analyze data, and support business decisions. No extensive prior experience is required-just a strong willingness to learn, adapt, and grow.

Work Authorization:
Applicants must be authorized to work in the U.S. We welcome candidates with:

Responsibilities

  • Gather, document, and analyze business requirements
  • Interpret data and generate actionable insights
  • Create reports, dashboards, and visualizations
  • Collaborate with stakeholders to improve processes
  • Assist in data validation, quality checks, and reporting
  • Translate business needs into functional specifications
Qualifications
  • Bachelor's degree (or equivalent experience)
  • Strong analytical and problem-solving skills
  • Basic knowledge of Excel, SQL, or data tools (training provided if needed)
  • Good communication and documentation skills
  • Eagerness to learn new tools and technologies
  • Candidates with career gaps looking to restart their careers
  • Professionals seeking hands-on experience in analytics
Additional Information

All your information will be kept confidential according to EEO guidelines.