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Remote Fitness Data Analytics Jobs (NOW HIRING)

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Addison Group

Data & Analytics Manager

Dallas, TX · Remote

$150K - $180K/yr

Senior Manager, Data & Analytics Employment Status: Full-Time, Salaried, Exempt. Location ... Remote (United States) with up to 25% travel annually. Schedule: Standard business hours with ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Inficare Technologies

Data Analytics Engineer

$117K - $140K/yr

Role - Senior Data Analytics Engineer Location - Remote Duration - Long Term contract Required • 6 to 10 years in data engineering, analytics engineering, or a closely related role. • Databricks ...

Zayo

Data Analytics Engineer

Denver, CO · Remote

$77K - $118K/yr

We're looking for an Analytics Engineer to join our Network Data Solutions team. In this role, you ... Remote #LI-MF1 Estimated base salary range: $77,100 - $118,600 USD/annually The base pay range ...

Huckberry

Data & Analytics Manager

Austin, TX · On-site +1

... remote hire Responsibilities * Own prioritization and project management for the data team ... Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable ...

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

As of Jun 10, 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.

How does a Remote Fitness Data Analytics professional typically collaborate with fitness trainers and product teams?

Remote Fitness Data Analytics professionals often work closely with fitness trainers to interpret data from wearable devices and user activity logs, providing actionable insights to improve client outcomes. They also collaborate with product and development teams to refine app features and ensure data accuracy, often participating in virtual meetings and sharing reports or dashboards. Effective communication and the ability to translate complex analytics into practical recommendations are key to successful teamwork in this remote setting.

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.

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

To thrive as a Remote Fitness Data Analyst, you need strong analytical skills, a background in statistics or data science, and familiarity with exercise science or kinesiology. Experience with data analytics tools like Python, R, SQL, and fitness tracking platforms, as well as relevant certifications such as Certified Analytics Professional (CAP), are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These skills are crucial for extracting actionable insights from fitness data, supporting evidence-based decision making, and communicating findings to stakeholders or clients remotely.

What is the highest paying job in the fitness industry?

In the fitness industry, high-paying roles include fitness directors, corporate wellness managers, and specialized personal trainers with advanced certifications. Data analytics professionals focusing on fitness data can also command high salaries, especially with expertise in data science, programming, and health metrics. Salaries vary based on experience, location, and employer size.

What is a Remote Fitness Data Analyst?

A Remote Fitness Data Analyst is a professional who works from a remote location to collect, analyze, and interpret data related to fitness and health activities. They use data from wearable devices, fitness apps, and other digital platforms to identify trends, measure performance, and provide insights that help individuals or organizations improve their fitness outcomes. Their work often supports fitness programs, personal trainers, gyms, or health technology companies in making data-driven decisions. Remote Fitness Data Analysts need strong analytical skills, proficiency with data tools, and a good understanding of fitness concepts. They play a key role in optimizing training plans and enhancing user engagement using actionable insights.
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:
What job categories do people searching Remote Fitness Data Analytics jobs look for? The top searched job categories for Remote Fitness Data Analytics jobs are:
Remote Fitness Data Analytics jobs near you
Infographic showing various Remote Fitness Data Analytics job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 30% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics Engineer

Ranch and Home Supply LLC

Bozeman, MT • On-site, Remote

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

We are seeking a highly skilled and experienced Data Analytics Engineer with a strong focus on Microsoft technologies to join our team. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft's suite of tools and technologies. Your expertise will be instrumental in transforming complex data into actionable insights, driving business growth, and supporting decision-making processes while actively participating in new opportunity pursuits. You will work with retail data domains such as sales, inventory, customer, and finance to design models that power operational and analytical decision-making across the business. This role is very technically focused and will co-own the design and evolution of the company's Microsoft Fabric Lakehouse architecture, including the downstream Power BI semantic layer. Your workplace is flexible - we have offices in Bozeman Montana or wherever you feel most productive.
This position can be fully remote for candidates residing in : AZ, CO, FL, GA, IA, ID, MT, MO, NE, NV, NC, PA, SD, TN, TX, UT, VA, WY.
As a Murdoch's Team Member in this role, you will ...
  • Collaborate with stakeholders to understand business requirements and translate them into scalable and efficient data analytics solutions.
  • Possess in-depth knowledge and hands-on experience with Microsoft Fabric ecosystem (Lakehouse, PySpark/SQL notebooks, data pipelines, and deployment pipelines). Understanding Microsoft Dynamics as a data source a big plus.
  • Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data.
  • Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data integrity, accuracy, and reliability. Knowledge of Fabric capacity (CU) optimization a big plus.
  • Implement data integration pipelines using Microsoft Fabric and other relevant tools to extract, transform, and load data from various sources into a unified data platform.
  • Create visually appealing and interactive dashboards, reports, and visualizations using Microsoft Power BI and DAX language, enabling users to gain valuable insights from data.
  • Identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency.
  • Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery.
  • Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and applying best practices in solution design and implementation.

Requirements
As a Murdochian in this role, you must...
  • Experience as a Data Engineer owning core data pipelines, with a primary focus on Microsoft Fabric and Azure technologies.
  • Extensive knowledge and hands-on experience with Microsoft Fabric. Including knowledge of medallion architecture using Lakehouse, Pyspark notebooks, data and deployment pipelines.
  • Experience designing and maintaining scalable semantic models (Power BI / Tabular / DAX) to provide a consistent, governed analytics layer across the business.
  • Establish and maintain best practices for version control, CI/CD, testing, and deployment of data pipelines and semantic models.
  • Proficiency in data visualization techniques using Power BI / DAX.
  • Strong problem-solving skills and ability to design scalable and efficient data analytics architectures.
  • Excellent understanding of data warehousing concepts, data governance, and data quality principles.
  • Solid knowledge of data security and compliance considerations in the context of data analytics.
  • Strong customer service focus for helping the team and business functions with their data analytics needs.
  • Ability to present, facilitate and participate in requirements elicitation and brainstorming sessions with internal and external teams in small and medium group environments.
  • Track record of building impactful solutions that you are proud to stand behind!

Physical Demands:
  • Sitting for long periods of time.
  • Repetitive wrist movements on keyboard.
  • Close vision for PC work.
  • Bending, carrying, and pushing.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

Competitive Benefits + Compensation:
  • Amazing Employee Discount on everything from clothes to power tools to pet food.
  • Multiple Health Insurance* options to best suit your needs after 60 days.
  • Dental & Vision options to complete your health plan.
  • Life Insurance to secure your family's financial future.
  • Paid Vacation* allows you to relax and recharge.
  • Holiday Pay throughout the year so you can celebrate with your family.
  • Paid Sick Time** empowers you to stay home and focus on your health without losing pay.
  • 401(k) with a generous 4% company match to help plan for retirement.
  • Paid Parental Leave* to take time to bond with your family's new addition.
  • Community Giving Program matches your donations and provides paid volunteer hours.
  • Wellness Program* saves you money by lowering medical premiums with credits earned.
  • Training Program helps you expand your knowledge and skills with over 250 courses.
  • Other various Voluntary Insurance Options.

#LI-CS1
Salary Description
100k - 125k DOE

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