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Full Time F1 Data Analyst Jobs (NOW HIRING)

Data Analyst

Washington, DC ยท On-site

$95K - $112K/yr

Job Type Full-time Description DATA ANALYST Location: Washington, DC Type: Full-Time Clearance: TS/SCI + CI Polygraph Overview DarkStar Intelligence is seeking a highly qualified Data Analyst to ...

Information Technology Time Type: Full time Minimum Clearance Required to Start: DOJ MBI Employee Type: Regular Percentage of Travel Required: Type of Travel: None * * * The Data Analyst within the ...

Data Analyst

Washington, DC ยท On-site

$95K - $112K/yr

Washington, DC | Type: Full-Time | Clearance: TS/SCI + CI Polygraph Overview DarkStar Intelligence is seeking a highly qualified Data Analyst to support mission-driven analytic operations in ...

PR ยท On-site

$45K - $55K/yr

???? Data Analyst ???? Location: San Juan, Puerto Rico (Hybrid - Remote Wednesdays ... Job Type: Full-Time | Monday to Friday ???? www.worksimpli.com About WorkSimpli Software WorkSimpli ...

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Description ...

Data Analyst

Nashua, NH ยท On-site

$54K - $83K/yr

Full-Time Nashua, NH Greater Nashua Mental Health is seeking a Data Analyst to design, develop, and manage data systems that support organizational decision-making . This role is responsible for ...

J0626-0213 Employment Type: Full Time Position Description: We are seeking an experienced Data Analyst to join our onshore team. This candidate should seamlessly utilize SQL, Python, Hadoop/Big Data ...

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Description ...

Data Analyst

$71K - $82K/yr

Data Analyst Remote | Full-Time | Exempt Role Summary: The Data Analyst is responsible for the conception and creation of reports, data visualizations, and data summarization/analysis within BI ...

Senior Data Analyst

Denver, CO ยท Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Data Analyst The Opportunity: The Data Analyst will work with a team to provide high-quality ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

Beavercreek, OH ยท On-site

$61K - $141K/yr

Data Analyst The Opportunity: The Data Analyst will work with a team to provide high-quality ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

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Full Time F1 Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do full time f1 data analyst jobs pay per year?

As of Jun 28, 2026, the average yearly pay for full time 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 F1 data analysts make?

F1 data analysts typically earn between $60,000 and $120,000 annually, depending on experience, location, and the team's budget. They often work with data analysis tools and programming languages like Python or R and may require specialized knowledge of motorsport data.

What are the key skills and qualifications needed to thrive as a Full Time F1 Data Analyst, and why are they important?

To thrive as a Full Time F1 Data Analyst, you need a solid background in data analysis, statistics, and engineering principles, often supported by a relevant degree in engineering, mathematics, or computer science. Familiarity with data analysis tools such as MATLAB, Python, SQL, and specialized motorsport telemetry systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are crucial for transforming complex race data into actionable insights that enhance team strategy and vehicle performance.

What are some common challenges faced by Full Time F1 Data Analysts when working trackside during race weekends?

Full Time F1 Data Analysts often encounter challenges such as processing and interpreting large volumes of real-time data under significant time pressure, especially during qualifying sessions and races. They must quickly identify performance trends, potential issues, or anomalies and communicate actionable insights to engineers and strategists. The fast-paced, high-stakes environment requires strong attention to detail, adaptability, and effective teamwork. Collaboration with race engineers, strategists, and mechanics is essential to make rapid decisions that can impact race outcomes.

What does a Full Time F1 Data Analyst do?

A Full Time F1 Data Analyst is responsible for collecting, processing, and interpreting data from Formula 1 cars and race events. They use advanced analytics and software tools to help their team understand performance metrics, develop race strategies, and optimize car setups. Their insights are crucial for decision-making during races and in preparing for upcoming events. This role often involves working closely with engineers, drivers, and strategists to ensure the team remains competitive.

How much do F1 analysts make?

F1 data analysts typically earn between $60,000 and $100,000 annually, depending on experience, location, and the employer. Entry-level positions may start lower, while experienced analysts with specialized skills in data analysis and motorsport can earn higher salaries.

Is 40 too late for data science?

For a Full Time F1 Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python. Experience, continuous learning, and certifications can be more important than age in this field.

What is the difference between Full Time F1 Data Analyst vs Part Time F1 Data Analyst?

AspectFull Time F1 Data AnalystPart Time F1 Data Analyst
Work HoursTypically 35-40 hours per weekLess than 20 hours per week
Employment StatusFull-time employeePart-time employee or contractor
Certifications & SkillsSame certifications, skills requiredSame certifications, skills required
Work EnvironmentOffice or remote, full integration into teamFlexible, often remote or freelance

Full Time F1 Data Analysts work full-time hours, often with benefits and full integration into the team, while Part Time F1 Data Analysts work fewer hours, usually with flexible schedules. Both roles require similar skills and certifications, but differ mainly in hours and employment status.

Can a data analyst work in F1?

A data analyst can work in F1 by analyzing race data, vehicle telemetry, and performance metrics to support team strategies. F1 teams often seek analysts skilled in data analysis tools like Python, R, and SQL, with knowledge of motorsport-specific data and the ability to work under tight deadlines.
More about Full Time F1 Data Analyst jobs
What cities are hiring for Full Time F1 Data Analyst jobs? Cities with the most Full Time 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 Full Time F1 Data Analyst jobs? States with the most job openings for Full Time F1 Data Analyst jobs include:
Infographic showing various Full Time F1 Data Analyst job openings in the United States as of June 2026, with employment types broken down into 25% Temporary, and 75% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Sarian, Inc.

Pittsburgh, PA โ€ข On-site

Full-time

Posted 12 days ago


Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • Data Visualization Tools: Experience with tools like Tableau, Power BI.
  • Programming Languages: Familiarity with languages like Python or R.
  • Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/