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Remote F1 Data Analyst Jobs in Michigan (NOW HIRING)

Data Analyst

Grand Rapids, MI · Remote

$90K - $110K/yr

Location: 100% Remote Position Summary: We are seeking a detail-oriented and technically skilled Data Analyst to support business intelligence, reporting, and data-driven decision-making across the ...

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... and data collection issues * Conduct ad hoc analyses and deep dives to support product and ...

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Facets Analyst

Lansing, MI · On-site +1

$95K - $98K/yr

Remote - United States Work Hours: EST hours Employment: Full-Time Geographic Restrictions ... Perform data analysis and validation using Oracle SQL/PL/SQL. * Support production issue analysis ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Remote F1 Data Analyst information

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 skills and qualifications are needed to thrive as a Remote F1 Data Analyst?

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.

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 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.

What are the most commonly searched types of F1 Data Analyst jobs in Michigan?

The most popular types of F1 Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Remote F1 Data Analyst jobs?

Cities in Michigan with the most Remote F1 Data Analyst job openings:

Data Analyst

Grand Rapids, MI • Remote

$90K - $110K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


Job description

Position: Data Analyst
Job Type: Permanent
Salary: $90,000-$110,000
Benefits: Healthcare Insurance, paid parental/maternity leave, unlimited PTO, 401k w/match, and employee wellness programs.
Location: 100% Remote
Position Summary: We are seeking a detail-oriented and technically skilled Data Analyst to support business intelligence, reporting, and data-driven decision-making across the organization. This role will be responsible for designing and maintaining dashboards, analyzing business performance, managing data integrations, and delivering actionable insights to stakeholders. The ideal candidate possesses strong experience with Power BI, SQL, Salesforce, and Microsoft technologies, along with the ability to translate complex data into meaningful business recommendations. This position requires a highly analytical professional who can partner with cross-functional teams to improve reporting capabilities, drive operational efficiencies, and support strategic initiatives.
Key Responsibilities of the Data Analyst:
  • Develop, maintain, and enhance Power BI dashboards, reports, and visualizations that provide actionable insights across business functions.
  • Write, optimize, and maintain SQL queries, stored procedures, and data models to support reporting and analytics requirements.
  • Analyze large datasets to identify trends, patterns, risks, and opportunities that support business decision-making.
  • Partner with stakeholders to gather reporting requirements and translate business needs into scalable analytics solutions.
  • Manage and support Salesforce reporting, dashboards, data integrity initiatives, and business analytics.
  • Integrate and consolidate data from Salesforce, Microsoft applications, ERP systems, and other business platforms.
  • Ensure data accuracy, consistency, and quality across reporting environments and business systems.
  • Create and maintain documentation for reporting processes, dashboard logic, data definitions, and analytics standards.
  • Monitor reporting performance and recommend improvements to data architecture, processes, and visualization strategies.
  • Support data governance initiatives, reporting best practices, and compliance requirements.
  • Collaborate with IT, Finance, Sales, Operations, and executive leadership to deliver meaningful business insights.
  • Perform ad hoc analysis and develop executive-level reports that support strategic planning and operational objectives.
  • Assist in the design and implementation of data warehouse, ETL, and business intelligence solutions.
  • Identify opportunities to automate reporting processes and improve data accessibility.
  • Present findings, recommendations, and key performance indicators to both technical and non-technical audiences.
  • Stay current on emerging trends and best practices related to Power BI, Salesforce analytics, SQL development, and business intelligence.
Required Qualifications of the Data Analyst:
  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business Analytics, Statistics, or a related discipline, or an equivalent combination of education and experience.
  • Minimum three years of experience in data analytics, business intelligence, reporting, or a related field.
  • Advanced experience developing dashboards and reports using Microsoft Power BI.
  • Strong hands-on experience writing complex SQL queries and working with relational databases.
  • Required experience utilizing Salesforce reporting, dashboards, data management, and analytics capabilities.
  • Experience gathering business requirements and translating them into reporting and analytical solutions.
  • Demonstrated ability to analyze large datasets, identify trends, and communicate actionable recommendations.
Preferred Qualifications of the Data Analyst:
  • Experience working within Microsoft technology environments, including Power BI, Excel, Azure, Microsoft Fabric, Power Platform, and Microsoft 365.
  • Knowledge of data modeling, ETL development, data warehousing concepts, and business intelligence best practices.
  • Experience integrating and analyzing data from Salesforce, ERP platforms, CRM systems, and third-party applications.
  • Strong understanding of KPI development, performance metrics, forecasting, and business reporting.
  • Experience with DAX, Power Query, and advanced Power BI development techniques.
  • Excellent analytical, problem-solving, organizational, and critical-thinking skills.
  • Strong communication skills with the ability to present technical findings to non-technical stakeholders and executive leadership.
  • Ability to manage multiple priorities, work independently in a remote environment, and collaborate effectively across departments.
  • Experience supporting private equity

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