Remote Formula 1 Data Analyst information
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$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
How much do remote formula 1 data analyst jobs pay per year?
As of Aug 21, 2026, the average yearly pay for remote formula 1 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.
A Remote Formula 1 Data Analyst interprets and analyzes large sets of racing data to help teams improve performance and make strategic decisions during races. They work with telemetry, lap times, tire performance, weather data, and more, often collaborating with engineers and strategists. Operating remotely, they use specialized software to process data in real-time, offering insights and recommendations to the team. This role requires strong analytical skills, attention to detail, and a solid understanding of motorsports, particularly Formula 1.
To thrive as a Remote Formula 1 Data Analyst, you need strong analytical skills, experience with motorsport data, and a background in mathematics, engineering, or computer science. Proficiency with data analysis tools such as MATLAB, Python, R, and motorsport-specific telemetry software is typically necessary. Excellent communication, attention to detail, and the ability to work independently under pressure are vital soft skills. These competencies ensure accurate data-driven insights that directly impact race strategies and team performance in a fast-paced, high-stakes environment.
Remote Formula 1 Data Analysts play a crucial role by processing live telemetry and performance data in real-time, often working from off-site locations. They communicate closely with race engineers and technical staff via secure digital channels, providing actionable insights and recommendations to optimize car setup, strategy, and performance. Collaboration is fast-paced and requires clear, concise communication to ensure decisions are aligned and timely, especially during qualifying sessions and the race itself. This teamwork is essential for translating data findings into competitive advantages on track.
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