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Professional F1 Data Analyst Jobs (NOW HIRING)

Mom's Meals

Sr Data Analyst

Ankeny, IA · Remote

$80K - $101K/yr

The Senior Data Analyst turns complex data into clear, actionable insights that drive business ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Salary range: $85,000-90,000 plus 10% bonus Benefits Our ...

360 IT Professionals

DATA ANALYST

Dallas, TX

Company Description 360 IT Professionals is leading name in the software development industry ... A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics ...

Analytic Services Inc

Data Analyst

Alexandria, VA

Five (5) years of professional experience in a relevant role. * Demonstrated understanding of data ... Ability to present analytical findings in a clear, concise, and executive-level format to senior ...

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

Five (5) years of professional experience in a relevant role. * Demonstrated understanding of data ... Ability to present analytical findings in a clear, concise, and executive-level format to senior ...

360 IT Professionals

Data analyst

Charlotte, NC

Company Description 360 IT Professionals is a Software Development Company based in Fremont ... analytics with a wide and deep understanding of Healthcare data; with experience in clinical ...

360 IT Professionals

Data Analyst

Irving, TX

Company Description 360 IT Professionals is a Software Development Company based in Fremont ... Position: Data Analyst Location: Irving, TX Duration: 6+ Months Only Local Candidates as F2F ...

Acquisition Professionals LLC

Data Analyst

New Orleans, LA · On-site

$55K - $65K/yr

Acquisition Professionals (AP) LLC is a trusted strategic partner and solutions-based company that ... The Data Analyst provides technical, analytical, and administrative support. This role supports the ...

AaraTechnologies Inc

DATA ANALYST

Georgiana, AL · On-site

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... Ideal for early-career professionals building analytics expertise. Key Responsibilities * Analyze ...

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Ideal for early-career professionals in financial analytics. Key Responsibilities * Analyze banking and transaction data * Create dashboards using Tableau or Power BI * Write SQL queries for data ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

Company Description Procom is a leading provider of professional IT services and staffing to ... Data Analyst Job Details Activities could include but is not limited to the following: Analysis of ...

AaraTechnologies Inc

DATA ANALYST

Georgiana, AL · On-site

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... Ideal for early-career professionals building analytics expertise. Key Responsibilities * Analyze ...

AaraTechnologies Inc

DATA ANALYST

Washington, DC · On-site

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... Ideal for early-career professionals building analytics expertise. Key Responsibilities * Analyze ...

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Professional F1 Data Analyst information

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How much do professional f1 data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for professional f1 data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How much do professional F1 data analysts make?

Professional F1 data analysts typically earn between $60,000 and $120,000 annually, depending on experience, location, and the team they work for. They often use advanced data analysis tools and have strong skills in programming, statistics, and motorsport knowledge.

How does a Professional F1 Data Analyst typically collaborate with engineers and race strategists during a race weekend?

A Professional F1 Data Analyst plays a crucial role in supporting engineers and race strategists by providing real-time data insights throughout a race weekend. They monitor car telemetry, tire performance, and competitor data to identify trends and opportunities for performance gains. Analysts work closely with the engineering team to recommend setup adjustments and inform strategists on optimal pit stop windows, helping the team make fast, data-driven decisions under pressure. Effective communication and the ability to translate complex data into actionable insights are key to successful collaboration in this fast-paced environment.

What does a Professional F1 Data Analyst do?

A Professional F1 Data Analyst collects, processes, and interprets vast amounts of data generated by Formula 1 cars during races, practice sessions, and simulations. They work closely with engineers and drivers to analyze telemetry, performance metrics, and strategy options, providing insights to improve car speed, reliability, and race outcomes. Their work involves using specialized software and statistical tools to identify trends, optimize setups, and support real-time decision-making during races. This role requires strong analytical skills, attention to detail, and a solid understanding of both motorsports and data science.

What is the difference between Professional F1 Data Analyst vs F1 Data Engineer?

AspectProfessional F1 Data AnalystF1 Data Engineer
CredentialsDegree in Data Science, Statistics, or related field; certifications in data analysis toolsDegree in Computer Engineering, Software Development, or related; certifications in data infrastructure
Work EnvironmentAnalyzing race data, creating reports, supporting team decisionsBuilding and maintaining data pipelines, managing databases and infrastructure
Industry UsageUsed across teams for performance analysis and strategyDevelops the systems that enable data collection and analysis

The Professional F1 Data Analyst focuses on interpreting data to improve race performance, while the F1 Data Engineer builds and maintains the data systems that support analysis. Both roles are essential but differ in technical scope and responsibilities.

Can a Professional F1 Data Analyst work in F1?

A Professional F1 Data Analyst can work in Formula 1 teams, where they analyze telemetry, race data, and performance metrics to optimize car setup and strategy. Success in this role typically requires strong skills in data analysis, programming, and knowledge of motorsport engineering, often supported by relevant experience or certifications. They usually work closely with engineers and drivers in a fast-paced, high-pressure environment during race weekends and testing sessions.

What are the key skills and qualifications needed to thrive as a Professional F1 Data Analyst?

To thrive as a Professional F1 Data Analyst, you need strong analytical abilities, expertise in data science or engineering, and a solid understanding of motorsport dynamics, often supported by a relevant degree. Familiarity with telemetry analysis tools, programming languages like Python or MATLAB, and data visualization software is essential. Excellent communication, problem-solving skills, and the ability to work under pressure help analysts convey insights and collaborate effectively with race engineers and teams. These skills ensure accurate, actionable data interpretation that optimizes race strategy and car performance in a highly competitive environment.

What cities are hiring for Professional F1 Data Analyst jobs?

Cities with the most Professional F1 Data Analyst job openings:

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 Professional F1 Data Analyst jobs?

States with the most job openings for Professional F1 Data Analyst jobs include:

Professional F1 Data Analyst jobs near you

Sr Data Analyst

Mom's Meals

Ankeny, IA • Remote

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Mom's Meals rating

6.1

Company rating: 6.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

15th of 24 rated food delivery companies

Job description

The Senior Data Analyst turns complex data into clear, actionable insights that drive business outcomes. In this role, you will develop scalable analytics assets, serve as our Power BI expert, and promote the advancement of analytics across our organization. You will independently partner with executive stakeholders on challenging data problems, support BI infrastructure, develop scalable data assets, and conduct exploratory analyses that create new value. 

 Do you enjoy building systems you can take pride in, discovering insights that create measurable value, and working in a role that is both business-facing and technical? If you want to grow your data career with mentorship, resources, and meaningful ownership, this could be a great role for you. 

 The primary tools used in this role are Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities. 

 
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
 
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
 
Salary range: $85,000-90,000 plus 10% bonus
 
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
 
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Support Power BI administration, including workspace governance, access management, deployment practices, and platform standards.
  • Architect and publish trusted Power BI datasets, semantic models, and dashboards using DAX and Power Query, applying development standards that improve usability, adoption, and long-term maintainability.
  • Adopt and champion BI development standards across the organization, including naming conventions, documentation expectations, quality checks, and release practices.
  • Stay current with emerging analytics methodologies, technologies, and capabilities.
  • Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives.
  • Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools.
  •  Implement advanced analytics where applicable, using scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis.
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses.
  • Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations.
  • Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation.
  • Define and monitor KPIs tying operational reporting directly to business objectives. 
Required Skills and Experience
  • 4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders
  • 2+ years administering a Power BI or Microsoft Fabric environment, including workspace governance, permissions, deployment practices, and user support.
  • Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with measurable business outcomes
  • Microsoft Fabric and Power BI: data modeling, DAX, Power Query, semantic models, calculation groups, deployment pipelines, and workspace governance.
  • Statistical and financial analytics expertise, including analysis design, interpretation of results, and business case development.
  • Expert proficiency in writing production-level SQL with query optimization over large, partitioned tables
  • Knowledge of AI-assisted analytics development, and AI-assisted analytics tools
  • Versioning and Reproducibility: Gitbased workflows; disciplined documentation, and peer review
  • Proficiency in R to create reproducible workflows, conduct statistical testing, and develop basic models.
  • Executive storytelling: translate complex analyses into clear narratives, recommended actions, and solutions that support decision-making.
  • Stakeholder partnership: influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication.
  • Product mindset: understand and define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions 
 
 
Preferred Skills and Experience
  • Certifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred)
  • Familiarity with data governance tools and compliance standards
  • Product management training or analytics product delivery experience  
Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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