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Data Product Manager, Hyundai

Huntington Beach, CA · On-site

$100K - $110K/yr

... freelance Data Product Manager to join our team! We don't just look for fresh talent; we look for fresh thinkers. The Data Product Manager plays a pivotal role in guiding our digital analytics ...

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How much do freelance data analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for freelance data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What Does a Freelance Data Analyst Do?

As a freelance data analyst, your duties are to collect data and interpret it for your client on a contract basis. Data analysts can work in many industries and fields, including sales, logistics, social science research, government and nonprofit, market research, banking, and healthcare, to name just a few. Your specific responsibilities may differ depending on the field. However, generally, you use a variety of analytical tools to assess things like sales numbers and performance, identify market trends, and write reports that chart your analysis and provide recommendations for future strategies.

What are freelance data analysts?

Freelance data analysts are independent professionals who analyze data for clients on a project-by-project basis rather than working as full-time employees for a single organization. They collect, process, and interpret data to help clients make informed decisions, often using tools like Excel, SQL, Python, or R. Freelance data analysts may work with businesses across various industries, providing insights, building reports, and creating data visualizations. Their flexible work arrangement allows them to take on multiple clients and projects according to their expertise and availability.

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

To thrive as a Freelance Data Analyst, you need strong analytical skills, a solid understanding of statistics, and proficiency in data visualization, often backed by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, Python or R, and platforms like Tableau or Power BI is typically expected, and certifications in data analytics can enhance credibility. Excellent communication, time management, and client relationship skills help freelancers stand out by effectively translating insights and managing multiple projects. These competencies ensure accurate analysis, actionable reporting, and client satisfaction in a competitive freelance environment.

What is the difference between Freelance Data Analyst vs Data Scientist?

AspectFreelance Data AnalystData Scientist
CredentialsTypically requires a bachelor's degree in data analysis, statistics, or related fieldsOften requires advanced degrees (Master's or PhD) in data science, computer science, or related areas
Work EnvironmentFreelance, project-based, remote or on-siteFull-time, employed by organizations, often remote or in-office
Industry UsageUsed across various industries for data reporting and analysisUsed for developing models, machine learning, and predictive analytics

Freelance Data Analysts focus on interpreting data, creating reports, and providing insights on a project basis, while Data Scientists develop complex models and algorithms to predict trends. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and education.

How do freelance data analysts typically manage project timelines and client communication?

Freelance data analysts often juggle multiple projects for different clients, making strong time management and clear communication essential. They usually set expectations upfront regarding deliverables and deadlines, using project management tools or shared documents to track progress. Regular updates and check-ins—often via email, video calls, or collaborative platforms—help keep clients informed and engaged throughout the analysis process. This structured approach ensures projects stay on track and fosters positive client relationships, which are crucial for repeat business and referrals.
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Freelance Data Analyst jobs near you
Infographic showing various Freelance Data Analyst job openings in the United States as of May 2026, with employment types broken down into 29% Full Time, 29% Part Time, 14% Temporary, and 28% Contract. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
American Football Advanced Analyst - USA, Remote

American Football Advanced Analyst - USA, Remote

Stats Perform

Remote

Full-time

Posted 21 days ago

Job description

American Football Advanced Analyst - USA, Remote
Are you an American Football fan and want to work in the sports industry?
You've come to the right place!
We are looking for American Football experts to join our team of freelance Data Collectors
Experience the thrill of uncovering new narratives of the game and join us in shaping the future of sports!
Become an American Football Advanced Analyst!
What's your new role about?
Advanced Analytics and Data Collection, College, and Pro Football
We are looking for experts of the ins and outs of the game of football to assist in our data collection department.
Key responsibilities:
  • Reviewing football film and charting plays, with data including formations, defensive targets, offensive concepts, QB pressures, etc.
  • Working independently to complete game assignment
  • Communicating with staffed personnel for any questions, fixes, etc. that are needed

What we need from you:
  • Passion and knowledge of American Football, especially around watching film to evaluate player and team performance
  • Strong attention to detail and ability to hit deadlines
  • Patience and ability to spend multiple hours at a time analyzing games
  • Availability Saturday-Monday during College Football season
  • Access to a desktop or laptop computer with stable, high-speed internet

We offer:
  • Thorough training to master the usage of our tools
  • Opportunity to work with the leading sports data brand it the world
  • An environment full of sport enthusiasts
  • A big chance to expand your network in the sport industry
  • Full remote role

ABOUT US
Stats Perform's extensive list of customers includes four of the top-five most popular global sports broadcast companies, seven of the top-10 global tech companies, all of the top-10 sportsbooks and seven of the top-10 football (soccer) franchises. We collect more than 30 million unique data points and distributes them to more than 1,800 customers, reaching over three billion fans a year.
Stats Perform collects the richest sports data in the world and transforms it through revolutionary artificial intelligence (AI) to unlock the most in-depth insights for media and technology, betting and team performance. With company roots dating back almost 40 years, Stats Perform embraces and solves the dynamic nature of sport - be that for digital and broadcast media with differentiated storytelling, tech companies with reliable and fast data to power their own innovations, sportsbooks with in-play betting and integrity services, or teams with first-of-its-kind AI analysis software. As the leading sports data and AI company, Stats Perform works with most of the top global sports broadcast companies, tech companies, sportsbooks, teams and leagues.
We are looking forward to your application!

Apply