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Internship F1 Data Analyst Jobs (NOW HIRING)

BuzzClan LLC

Data Analyst with AI

Houston, TX · On-site

Percentage of models meeting defined performance thresholds (e.g., MAE, F1, AUROC). Model Quality ... of experience in data analytics, business intelligence, data science, or AI/ML development.

Windfall

Data Analyst

San Francisco, CA

$90K - $120K/yr

At Windfall, data isn't just a resource-it's our product. We are on a mission to democratize access ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

Windfall

Data Analyst

San Francisco, CA · On-site

$90K - $120K/yr

At Windfall, data isn't just a resource-it's our product. We are on a mission to democratize access ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

Windfall

Data Analyst

San Francisco, CA

$90K - $120K/yr

At Windfall, data isn't just a resource--it's our product. We are on a mission to democratize ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

Ascensus, LLC.

Data Analyst Intern

Newton, MA · On-site

$20/hr

Our internship program offers practical corporate work experience that could lead to full-time work ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

Lexicon, Inc

Data Analyst

Little Rock, AR · On-site

Position Summary The Data Analyst administers and improves key business applications while ... role (internships, co-ops, and relevant project work count toward entry-level experience)

ASCENSUS

Data Analyst Intern

Newton, MA

$20/hr

Our internship program offers practical corporate work experience that could lead to full-time work ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

Lexicon, Inc

Data Analyst

Little Rock, AR

Position Summary The Data Analyst administers and improves key business applications while ... role (internships, co-ops, and relevant project work count toward entry-level experience)

Govini

Data Analyst

Arlington, VA

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

Powers Health

Associate Data Analyst

Munster, IN · Remote

... internships or academic. * Proficient in Excel and other basic data analysis tools. * Working knowledge of SQL and relational databases. * Exposure to data visualization tools such as Tibco Spotfire ...

Govini

Data Analyst

Arlington, VA · On-site

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Govini

Data Analyst

Arlington, VA

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Ames Construction

Data Analyst

Burnsville, MN

Experience: Internship, academic, or project-based experience in data engineering, analytics engineering, or a related field, including basic data modeling and relational database concepts.

Loopback Analytics

RWD Data Analyst Intern

Dallas, TX · On-site

This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ... Data Analysis & Solution Development * Analyze Loopbacks large-scale healthcare data warehouse ...

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$44

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How much do internship f1 data analyst jobs pay per hour?

As of May 30, 2026, the average hourly pay for internship f1 data analyst in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

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

To thrive as an Internship F1 Data Analyst, you need a strong background in data analysis, statistics, and familiarity with motorsport engineering concepts, typically supported by coursework in computer science, engineering, or mathematics. Experience with data analysis tools such as Python, MATLAB, SQL, and race simulation software is highly valued, along with proficiency in Microsoft Excel. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and collaborate with technical teams. These skills are essential for extracting actionable insights from complex race data and contributing to performance improvements in a fast-paced Formula 1 environment.

What are the typical projects and responsibilities for an Internship F1 Data Analyst, and how do they contribute to the team's performance?

As an Internship F1 Data Analyst, you will often be tasked with collecting, cleaning, and analyzing large sets of telemetry and performance data from the cars during testing sessions, practice runs, and races. You may assist in developing data visualization tools and reporting dashboards to help engineers and strategists make real-time decisions. Collaboration is key, as you'll work closely with engineers, race strategists, and software developers to turn raw data into actionable insights. Your contributions directly impact race strategies, car setup optimizations, and overall team performance, making this a dynamic and rewarding role.

What are Internship F1 Data Analysts?

Internship F1 Data Analysts are students or early-career professionals who assist Formula 1 teams or affiliated organizations by collecting, processing, and interpreting complex data related to car performance, race strategies, and engineering developments. They work under the supervision of experienced analysts, using tools like MATLAB, Python, and specialized motorsport software. Their role often involves creating visualizations, preparing reports, and helping the team make data-driven decisions during races and development cycles. This internship is a valuable opportunity to gain hands-on experience in motorsport analytics and understand the technical aspects of F1 racing.

Can a data analyst work in F1?

A data analyst can work in Formula 1 by analyzing race data, telemetry, and performance metrics to improve team strategies. F1 teams often seek analysts skilled in data analysis tools like Python, R, and SQL, with knowledge of motorsport-specific data. Strong analytical skills and experience with real-time data processing are essential for such roles.

Do F1 teams hire interns?

F1 teams do hire interns, often for roles such as data analysis, engineering, and logistics. Internships typically last several months during the off-season or summer, and applicants usually need relevant skills in data analysis tools like Python or MATLAB, along with a background in engineering or related fields.

What is the difference between Internship F1 Data Analyst vs Data Analyst?

AspectInternship F1 Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data-related fields; internship experienceBachelor's degree or higher in data science, statistics, or related fields
Work EnvironmentInternship setting, often part-time or temporary, in corporate or financial sectorsFull-time professional role in various industries such as finance, healthcare, or tech
Employer & Industry UsageUsed by companies to train and evaluate potential future employees, common in finance and consultingEstablished role for analyzing data, generating reports, and supporting decision-making

The main difference is that an Internship F1 Data Analyst is a temporary, training-focused position for students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone into the data analysis field, whereas Data Analysts are expected to independently handle data projects and contribute to organizational goals.

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What cities are hiring for Internship F1 Data Analyst jobs? Cities with the most Internship F1 Data Analyst job openings:
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What states have the most Internship F1 Data Analyst jobs? States with the most job openings for Internship F1 Data Analyst jobs include:
What job categories do people searching Internship F1 Data Analyst jobs look for? The top searched job categories for Internship F1 Data Analyst jobs are:
Internship F1 Data Analyst jobs near you
Infographic showing various Internship F1 Data Analyst job openings in the United States as of May 2026, with employment types broken down into 50% Internship, 25% Full Time, and 25% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.
Data Analyst with AI

Data Analyst with AI

BuzzClan LLC

Houston, TX • On-site

Contractor

Posted 8 days ago

Job description

Company Description
Job Description
Sr. Data Analyst
Location: Houston, TX 77002
Contract
Work /Schedule: 8am-5pm, Hybrid (3 days in office, 2 days WFH)
PPA #: 13644
Project and Requirements Required
The Senior Data Analyst (AI) leads the development, deployment, and governance of advanced analytics and artificial intelligence solutions that drive data-informed decision-making.
This role helps the organization use data and AI responsibly to improve resident services, increase operational efficiency, strengthen community trust, and support evidence-based policymaking. The work produced directly impacts service quality, transparency, and the Client's ability to deploy AI safely and effectively.
The Senior Data Analyst (AI) blends deep analytical expertise with a practical understanding of public sector operations, ensuring AI tools are ethical, transparent, secure, and aligned with community priorities. This position is instrumental in modernizing government operations and advancing enterprise AI capabilities.
Role and Responsibilities of the Resource Request Required
AI & Advanced Analytics
  • Build machine learning models, predictive analytics solutions, NLP tools, and AI-powered automations.
  • Lead end-to-end model development, including data acquisition, feature engineering, training, validation, deployment, and monitoring.
  • Apply responsible AI frameworks to ensure fairness, transparency, explainability, and accountability.

Data Strategy & Governance
  • Maintain data quality standards, metadata practices, and robust model documentation.
  • Partner with IT and Cybersecurity teams to ensure secure handling of sensitive and regulated data.
  • Support development of AI ethics guidelines, model risk management practices, and enterprise data governance initiatives.

Cross-Department Collaboration
  • Identify opportunities to use AI to improve services, reduce costs, and strengthen community outcomes.
  • Translate complex analytics into clear, actionable insights for executive leadership and non-technical audiences.
  • Provide mentorship and technical guidance to analysts and departmental partners.

Reporting & Visualization
  • Develop dashboards, automated reports, and data visualizations that communicate trends, forecasts, KPIs, and performance metrics.
  • Integrate AI-generated insights into reporting systems to support real-time decision-making and operational readiness.
  • Develop and maintain Business Intelligence solutions (e.g., Power BI) that support transparency, operational readiness, and executive briefings.

Scheduled Milestones and Deliverables Required
  • Operational AI solutions in production improving at least three resident-facing services or internal processes (e.g., service triage, demand forecasting, permit processing times).
  • A functioning Responsible AI governance workflow, including model documentation, bias testing, human-in-the-loop review, and incident response procedures.
  • Executive-ready dashboards for priority KPIs (service delivery, equity indicators, fiscal efficiency) with near real-time insights integrated.
  • Established data quality standards and metadata practices supporting MLOps pipelines.
  • A sustainable cross-department engagement model (intake → discovery → delivery → monitoring), including skills uplift and mentorship initiatives.

Metrics to be Utilized to Measure the Performance of this Resource Required
Model Delivery Metrics
  • Number of AI/ML models delivered (pilot, production, or enhancement).
  • Average time from project intake to pilot deployment.
  • Percentage of models meeting defined performance thresholds (e.g., MAE, F1, AUROC).

Model Quality & Performance
  • Frequency of model drift or degradation incidents.
  • Time to identify and remediate model drift (target: within established SLA).
  • Success rate of model retraining without regression or fairness issues.

Innovation & Complexity
  • Number of solutions utilizing advanced techniques (LLMs, NLP, geospatial analytics, automation).
  • Reuse rate of modular components (features, pipelines, datasets).

Qualifications
Required Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, Mathematics, or a related field.
  • 4+ years of experience in data analytics, business intelligence, data science, or AI/ML development.
  • Strong experience with machine learning, predictive analytics, NLP, and AI solution development.
  • Proficiency in Python, SQL, and data visualization tools such as Power BI.
  • Experience with cloud platforms, MLOps practices, and model deployment frameworks.
  • Strong understanding of data governance, responsible AI principles, and cybersecurity best practices.
  • Experience building dashboards, KPIs, and executive reporting solutions.
  • Excellent communication and stakeholder management skills.

Additional Information

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