ZipRecruiter

Log In

1

F1 Data Analyst Jobs (NOW HIRING)

Mom's Meals

Principal Data Analyst

Ankeny, IA · Remote

F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits Our employees enjoy a generous package of ... Own analysis quality: data validation, experiment/study design, sensitivity checks, and ...

SynergisticIT

Data Engineer - Remote

$117K - $140K/yr

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... We also assist with F1 OPT to transition into H1B and Green Card byproviding comprehensive support.

SynergisticIT

Entry Level Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... We also assist with F1 OPT to transition into H1B and Green Card byproviding comprehensive support.

next page

Showing results 1-20

All JobsF1 Data Analyst Jobs

F1 Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do f1 data analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for 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.

What are typical daily responsibilities for an F1 Data Analyst during a race weekend?

During a race weekend, an F1 Data Analyst is responsible for monitoring live telemetry, analyzing car performance data, and providing real-time feedback to engineers and drivers. They support decision-making on strategy, tire selection, and setup adjustments by interpreting trends and anomalies in the data. Analysts frequently collaborate with race engineers and other technical staff, ensuring that insights and adjustments are communicated clearly and promptly. This dynamic environment requires quick thinking and the ability to adapt to fast-changing circumstances, making it both challenging and rewarding for data professionals.

How much do F1 analysts make?

F1 data analysts typically earn between $50,000 and $100,000 annually, depending on experience, location, and the level of the team or organization. Entry-level analysts may start lower, while experienced professionals with specialized skills in data analysis and motorsport can earn higher salaries.

How much do F1 data analysts make?

F1 data analysts typically earn between $60,000 and $120,000 annually, depending on experience, location, and the level of the team or organization. Entry-level analysts may start at lower salaries, while experienced professionals with skills in data analysis, programming, and motorsport knowledge can earn higher compensation.

Can a data analyst work in F1?

A data analyst can work in Formula 1 by analyzing large datasets related to car performance, telemetry, and race strategies. F1 teams often employ data analysts with skills in programming, statistical analysis, and tools like Python, R, or SQL to optimize performance and decision-making.

What is an F1 Data Analyst job?

An F1 Data Analyst collects, processes, and interprets data from Formula 1 cars to optimize performance, strategy, and reliability. They work with telemetry data, simulations, and statistical models to provide insights for race engineers and strategists. Their role involves monitoring vehicle dynamics, tire performance, fuel efficiency, and competitor analysis. By leveraging data-driven decisions, they help teams improve race strategies and gain a competitive edge.

How to become a F1 data analyst?

To become a Formula 1 data analyst, candidates typically need a strong background in data analysis, statistics, or engineering, often holding a degree in a related field such as computer science or motorsport engineering. Proficiency in programming languages like Python or R, experience with data visualization tools, and knowledge of motorsport telemetry are important. Gaining experience through internships or roles in motorsport or automotive industries can also improve prospects.

What are the key skills and qualifications needed to thrive in the F1 Data Analyst position, and why are they important?

To thrive as an F1 Data Analyst, a strong background in data analysis, statistics, and engineering—typically with a degree in mathematics, computer science, or engineering—is essential. Experience with data modeling, statistical tools (such as MATLAB, R, or Python), and motorsport data systems like telemetry analysis platforms is highly valued. Strong problem-solving ability, attention to detail, effective communication, and the ability to work under pressure are key soft skills that distinguish top performers. These skills enable analysts to derive actionable insights, support strategic race decisions, and contribute to the team's competitive edge.

More about F1 Data Analyst jobs
What cities are hiring for F1 Data Analyst jobs? Cities with the most 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 F1 Data Analyst jobs? States with the most job openings for F1 Data Analyst jobs include:
What job categories do people searching F1 Data Analyst jobs look for? The top searched job categories for F1 Data Analyst jobs are:
F1 Data Analyst jobs near you
Infographic showing various F1 Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Principal Data Analyst

Principal Data Analyst

Mom's Meals

Ankeny, IA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Mom's Meals rating

6.2

Company rating: 6.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

13th of 22 rated food delivery companies

Job description

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, crossfunctional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprisegrade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack. 
 
Salary range: $100,003-120,000 plus 10% bonus
 
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.
 
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
  • Lead highimpact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack
Required Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8-10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multisource data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/TSQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, rowlevel security, deployment pipelines
  • Versioning & Reproducibility: Gitbased workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence crossfunctional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts' craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound tradeoffs, and uphold high quality standards
  •  
Preferred Skills and Experience
  • Master's degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman's HCG
  • 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.
apply for this job

What Mom's Meals employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply