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Entry Level F1 Data Analyst Jobs in Frederick, MD

AECOM

Entry-Level Geotechnical Engineer

Germantown, MD · On-site

AECOM is seeking an Entry Level Geotechnical Engineer to be based in Germantown, MD. This position ... analysis. * Assist in the preparation of geotechnical data reports, geotechnical design reports ...

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Entry Level F1 Data Analyst information

See Frederick, MD salary details

$13

$32

$61

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

As of Aug 30, 2026, the average hourly pay for entry level f1 data analyst in Frederick, MD is $32.74, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $36.59 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 cities near Frederick, MD are hiring for Entry Level F1 Data Analyst jobs?

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Entry Level F1 Data Analyst jobs near you

QC Analyst 1 - Walkerville, MD

Unicon Pharma Inc.

Walkersville, MD • On-site

$24 - $32.25/hr

Contractor

Re-posted 10 days ago

Job description

Job Description Summary

The QC Analyst I is an entry-level role responsible for executing routine laboratory testing and sampling in support of quality control operations. This role focuses on building foundational technical skills while ensuring all work is performed in compliance with cGMPs and standard procedures. The Analyst I primarily supports day-to-day laboratory activities and develops proficiency across assigned methods and systems.

Job Description Roles and ResponsibilitiesPrimary Responsibilities
  • Perform routine testing and sampling (EM, utilities, raw materials, in-process, finished goods) in accordance with SOPs and cGMP requirements.
  • Accurately document, review, and report data in compliance with GDP and ALCOA+ principles.
  • Execute assigned testing and support activities within defined timelines.
  • Support laboratory operations including housekeeping, inventory management, and basic equipment care.
  • Identify and escalate deviations, atypical results, or compliance concerns.
Secondary Responsibilities
  • Assist with sample coordination and shipment to external laboratories.
  • Support SOP revisions and documentation updates.
  • Participate in training to build proficiency across assays.
  • Provide support for validation or innovation projects as assigned.
Laboratory Time Expectation
  • ~80–90% laboratory-based work.
  • Majority of time spent executing routine testing and sampling activities.
  • Limited non-lab responsibilities, primarily focused on documentation and training.
Key Competencies
  • Foundational laboratory skills and aseptic technique.
  • Strong attention to detail and data integrity awareness.
  • Basic prioritization and time management (with guidance).
  • Clear written and verbal communication.
  • Ability to follow procedures and learn new techniques.