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Remote Fitness Data Analytics Jobs (NOW HIRING)

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ... Health & fitness benefits, discounts and resources- We offer teammates across the country programs ...

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

This is a remote position. Overview : The Portfolio Lead - Data & Analytics is responsible for driving strategic data engagements across key enterprise accounts . This role blends a consulting ...

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

... enterprise data strategy, architecture, governance, and analytics-enabling IJM to operate with ... This position is hybrid (onsite Tuesdays & Thursdays) iflocatedin the Washington, DC area or remote ...

Showing results 41-60

Remote Fitness Data Analytics information

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$24

$54

$94

How much do remote fitness data analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote fitness data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is the difference between Remote Fitness Data Analytics vs Remote Personal Trainer?

AspectRemote Fitness Data AnalyticsRemote Personal Trainer
Required CredentialsCertifications in data analysis, fitness industry knowledgeFitness certifications (e.g., NASM, ACE), CPR certification
Work EnvironmentData analysis platforms, remote offices, fitness appsVideo calls, online workout sessions, client communication
Employer & Industry UsageFitness tech companies, health startups, gymsFitness centers, personal training services, online coaching
Search & Comparison IntentUnderstanding data roles in fitnessFinding personal training services online

Remote Fitness Data Analytics focuses on analyzing fitness data to improve health outcomes and optimize fitness programs, requiring data analysis skills and industry knowledge. In contrast, Remote Personal Trainers provide direct coaching and workout guidance to clients via online platforms. Both roles are remote but serve different functions within the fitness industry.

More about Remote Fitness Data Analytics jobs

What cities are hiring for Remote Fitness Data Analytics jobs?

Cities with the most Remote Fitness Data Analytics job openings:

What are the most commonly searched types of Fitness Data Analytics jobs?

The most popular types of Fitness Data Analytics jobs are:

What states have the most Remote Fitness Data Analytics jobs?

States with the most job openings for Remote Fitness Data Analytics jobs include:

Infographic showing various Remote Fitness Data Analytics job openings in the United States as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics Developer (Remote Eligible)

Mathematica

Chicago, IL • On-site, Remote

Full-time

Re-posted 17 days ago


Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We are seeking an intellectually curious Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.

Responsibilities:

  • Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creating and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found