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Remote F1 Data Analyst Jobs in Wisconsin (NOW HIRING)

Sr. Data Analyst

Waukesha, WI ยท On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... Hybrid and remote options available for this role. Responsibilities : * Design, develop, and ...

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Business Data Analyst

Milwaukee, WI ยท On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

90-100% remote but can require staff to come onsite as necessary with sufficient notice. This ... They will be responsible for the data profiling, analysis and documentation of data quality. The ...

Role Snapshot The Provider Network Reimbursement Analyst completes data analyses to support ... We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

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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 Wisconsin?

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

What job categories do people searching Remote F1 Data Analyst jobs in Wisconsin look for?

The top searched job categories for Remote F1 Data Analyst jobs in Wisconsin are:

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

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

Infographic showing various Remote F1 Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Sr. Data Analyst

Carroll University

Waukesha, WI โ€ข On-site, Remote

$86K - $108K/yr

Full-time

Re-posted 14 days ago


Job description

t Carroll University, we are committed to identifying and employing strategies to support our goal to be and remain a socially just organization. Rooted in the Presbyterian (U.S.A.) heritage, we respect all aspects of diversity, embrace the practice of equity, expect inclusion, and embrace belonging throughout our community. Therefore, we seek applicants who can demonstrate their understanding of justice and who can inspire our increasingly diverse student population.

The Senior Data Analyst is a strategic and technical role within Information Technology responsible for advancing the institution's data analytics, reporting, and decision-support capabilities. This position partners closely with academic and administrative departments to analyze data, develop actionable insights, improve data quality, and support data-informed decision-making across the institution. The Senior Data Analyst designs and develops enterprise reporting solutions, dashboards, data models, and analytics frameworks while helping establish data governance standards and best practices. This role serves as a bridge between business stakeholders and technical teams to ensure institutional data is accurate, accessible, secure, and aligned with strategic goals. The position requires strong analytical, communication, and problem-solving skills, along with experience working with ERP systems, data visualization tools, SQL, and modern analytics platforms in a collaborative higher education environment.

Hybrid and remote options available for this role.

Responsibilities:

  • Design, develop, and maintain enterprise dashboards, reports, and data visualizations for academic and administrative departments.
  • Translate complex business requirements into meaningful analytics and reporting solutions.
  • Support institutional data governance initiatives, including data quality, integrity, stewardship, and standardization efforts.
  • Partner with stakeholders to establish consistent reporting definitions, business rules, and data standards.
  • Assist in maintaining enterprise data models, data dictionaries, and metadata documentation.
  • Promote responsible and secure use of institutional data in alignment with compliance and privacy requirements.
  • Assist departments seeking to improve operational effectiveness through data insights.
  • Assist with prioritizing analytics initiatives.
  • Work with enterprise systems including ERP/SIS, CRM, HRIS, LMS, and other institutional applications to support data integration and reporting.
  • Develop and optimize SQL queries, data pipelines, and automated reporting processes.
  • Support analytics and business intelligence platforms such as Power BI, or similar tools.
  • Assist in evaluating emerging analytics, AI, and data technologies that improve institutional effectiveness.
  • Identify opportunities to improve reporting efficiency, automation, and data accessibility.
  • Participate in cross-functional IT and institutional projects related to data, reporting, and process improvement.
  • Complete other duties as assigned.

Qualifications:

Education and/or Experience:

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Mathematics, Statistics, or related field.

5+ years of experience in data analytics, business intelligence, institutional research, or related analytics roles.

Experience working in higher education environments, desired.

Strong experience with SQL and relational databases.

Strong analytical, problem-solving, and communication skills.

Ability to explain technical concepts and analytics insights to non-technical audiences.

Experience supporting institutional effectiveness, enrollment analytics, student success, or operational reporting initiatives.

Technical Skills:

Experience developing dashboards and reports using Power BI, Tableau, or similar BI tools.

Experience working with enterprise applications such as ERP, SIS, CRM, or HRIS systems.

Familiarity with Ellucian, Anthology, Workday, Salesforce, or similar higher education platforms.

Experience with data warehousing, ETL/integration processes, or cloud analytics platforms.

Knowledge of data governance, compliance, and privacy practices.

Exposure to predictive analytics, AI, or machine learning concepts.

Human Relations Skills:

Ability to work effectively with people regardless of their age, gender, race, sexual orientation,ethnicity, religion, ability, socio-economic background, or job type.

Effective interpersonal and communication skills with the ability to collaborate across teams and contribute to problem-solving efforts.

Clear and professional written and verbal communication skills suited for both technical and non-technical audiences.

Strong commitment to delivering responsive and respectful customer service.

Ability to stay focused, organized, and productive when working under deadlines or during periods of high activity.

Adaptable and able to manage shifting priorities in a dynamic work environment.

Skilled in managing multiple assignments and projects simultaneously with minimal oversight.

Equally comfortable working independently or as part of a collaborative team.

Demonstrated ability to build and maintain positive working relationships with a wide range of colleagues and stakeholders.

Candidates must be willing and able to support and advance the University mission.

Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at the Department of Public Safety, at 239 North East Ave., Waukesha, WI 5318