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Remote F1 Data Analyst Jobs in Riverside, CA (NOW HIRING)

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

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Remote F1 Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

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

As of Jun 9, 2026, the average yearly pay for remote f1 data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote F1 Data Analyst, you need strong analytical skills, proficiency in data modeling, and a background in engineering, mathematics, or computer science. Familiarity with data analysis tools such as MATLAB, Python, SQL, and telemetry systems, as well as experience with motorsport-specific software, is highly valuable. Attention to detail, problem-solving ability, and clear communication are important soft skills for interpreting data and collaborating with remote teams. These skills are crucial for delivering actionable insights that drive race strategy and performance optimization in a fast-paced and competitive environment.

What is a Remote F1 Data Analyst?

A Remote F1 Data Analyst is a professional who analyzes data related to Formula 1 racing from a remote location, rather than being physically present at the race circuits or team headquarters. Their work involves collecting, processing, and interpreting large sets of telemetry, performance, and strategy data to help teams gain a competitive edge. They use specialized software and analytical tools to provide actionable insights on car performance, driver behavior, and race strategies. This role requires strong technical and analytical skills, as well as an understanding of motorsport dynamics. Working remotely, they collaborate closely with engineers, strategists, and other team members through digital communication platforms.

What is the difference between Remote F1 Data Analyst vs Remote Motorsport Data Analyst?

AspectRemote F1 Data AnalystRemote Motorsport Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with motorsport dataSimilar credentials; focus on motorsport-specific data analysis skills
Work EnvironmentRemote, often collaborating with F1 teams or broadcastersRemote, working with various motorsport teams or organizations
Industry UsagePrimarily in Formula 1 racingBroader motorsport industry including NASCAR, MotoGP, etc.
Common Search/ComparisonYesYes

The Remote F1 Data Analyst specializes in analyzing data specific to Formula 1 racing, often working with F1 teams or broadcasters. In contrast, the Remote Motorsport Data Analyst covers a wider range of motorsport disciplines, requiring broader industry knowledge. Both roles demand similar technical skills and credentials but differ in their focus and industry scope.

How does a Remote F1 Data Analyst collaborate with race engineers and teams given the virtual nature of the role?

As a Remote F1 Data Analyst, you'll regularly interact with race engineers, strategists, and other members of the technical team through virtual communication platforms. This collaboration often involves analyzing real-time telemetry and performance data, sharing findings via online dashboards or reports, and participating in strategy meetings over video calls. Despite working remotely, you are expected to be highly responsive and proactive, especially during race weekends, to ensure your insights contribute directly to race decisions. Strong digital communication skills and the ability to work across time zones are essential for effective collaboration in this dynamic, fast-paced environment.
What are the most commonly searched types of F1 Data Analyst jobs in Riverside, CA? The most popular types of F1 Data Analyst jobs in Riverside, CA are:
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Remote F1 Data Analyst jobs near you
Junior Data Analyst

Junior Data Analyst

Datafied

Anaheim, CA • On-site, Remote

Full-time

Posted 13 days ago

Job description

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision-making. The ideal candidate will have a strong foundation in data analysis, reporting, and process improvement, with a high level of proficiency in Microsoft Excel.

Requirements

Key Responsibilities

  • Analyze data using statistical techniques and deliver clear, actionable reports.
  • Design, develop, and maintain databases and data collection systems to optimize data quality and efficiency.
  • Extract and clean data from various sources to ensure accuracy and consistency.
  • Identify trends, patterns, and correlations in complex datasets to support business initiatives.
  • Maintain and enhance existing reporting tools and dashboards to ensure continuous data flow and usability.
  • Collaborate with cross-functional teams to prioritize information needs and support business objectives.
  • Document and update standard operating procedures for data-related tasks and reporting processes.
  • Proactively identify opportunities for process improvements and automation.
  • Ensure timely and accurate completion of assigned tasks with a commitment to quality.

Required Qualifications

  • Proficiency in Microsoft Excel (including pivot tables, formulas, and macros).
  • Strong analytical and problem-solving skills.
  • Experience working with large datasets and multiple data sources.
  • Ability to communicate findings clearly to both technical and non-technical stakeholders.
  • Self-motivated with a strong sense of ownership and attention to detail.

Remote Work Requirements

  • Hard-wired ethernet connection.
  • Safe and secure workspace.
  • Ability to maintain confidentiality in a remote setting.

Preferred Qualifications

  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Familiarity with SQL or other query languages.
  • Exposure to Python, R, or other data analysis tools.
  • Experience working in a fast-paced or cross-functional environment.
  • Experience working with Microsoft SharePoint and the broader Microsoft Office Suite (e.g., Outlook, Teams, Word, PowerPoint)

Key Competencies

  • Strong attention to detail and accuracy.
  • Effective communication and collaboration skills.
  • Ability to manage multiple tasks and meet deadlines.
  • Analytical mindset with a proactive approach to problem-solving.

Benefits

  • Collaborative culture with a focus on innovation and continuous learning.
  • Competitive compensation and benefits package.

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