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Professional Fitness Data Analytics Jobs (NOW HIRING)

Emerson

Data Analytics Co-Op

Marshalltown, IA · On-site

You will also get hands-on experience, professional development, and networking opportunities in ... There is also an easy to access on-site cafeterias, fitness facilities, employee resource groups ...

New

Compeer Financial

Intern Data Analytics

Mankato, MN · On-site +1

$20 - $21/hr

Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer ...

Compeer Financial

Intern Data Analytics

Lakeville, MN · On-site +1

$20 - $21/hr

Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer ...

Compeer Financial

Intern Data Analytics

Bloomington, IL · On-site +1

$20 - $21/hr

Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer ...

Compeer Financial

Intern Data Analytics

Lakeville, MN · On-site

$20 - $21/hr

Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer ...

Compeer Financial

Intern Data Analytics

Rochester, MN · On-site +1

$20 - $21/hr

Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer ...

Compeer Financial

Intern Data Analytics

Eau Claire, WI · On-site +1

$20 - $21/hr

Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer ...

retailcloud

Data Analytics Intern

Concord, NH · On-site

$60 - $70/hr

We are the proud partner of over 30 professional sports teams and work closely to utilize our 30 ... The ideal candidate will have 1-3 years experience in a prior data analytics role. This role will ...

Emerson

Data Analytics Co-Op

Marshalltown, IA · On-site

You will also get hands-on experience, professional development, and networking opportunities in ... There is also an easy to access on-site cafeterias, fitness facilities, employee resource groups ...

Further

Data & Analytics Strategy

Cleveland, OH · On-site

We believe that the work you do should matter - it should be meaningful to you professionally and ... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

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Professional Fitness Data Analytics information

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$33K

$81.5K

$140K

How much do professional fitness data analytics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for professional fitness data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a professional fitness data analyst?

A Professional Fitness Data Analyst is a specialist who collects, interprets, and analyzes data related to fitness, exercise, and health. They use data from wearable devices, fitness apps, and other sources to help gyms, trainers, or athletes understand performance trends, optimize training programs, and improve overall health outcomes. Their insights can help organizations or individuals make evidence-based decisions to enhance fitness strategies and outcomes. Typically, fitness data analysts have a background in data science, exercise science, or related fields.

How does a professional fitness data analyst collaborate with trainers and clients to improve workout outcomes?

A Professional Fitness Data Analyst works closely with trainers to interpret performance data, identify trends, and provide actionable insights that can enhance training programs. They often translate complex analytics into easy-to-understand reports for both trainers and clients, facilitating goal setting and progress tracking. By having regular meetings and sharing dashboards, analysts ensure that trainers and clients are aligned on objectives and can make informed adjustments to routines. This collaborative approach helps maximize workout efficiency and supports clients in reaching their fitness goals more effectively.

What are the key skills and qualifications needed to thrive as a professional fitness data analyst?

To thrive as a Professional Fitness Data Analyst, you need strong analytical skills, a background in exercise science or a related field, and proficiency in data interpretation. Familiarity with data analysis tools such as Python, R, Excel, and fitness tracking platforms, along with relevant certifications in data analytics or sports science, is highly valuable. Excellent communication, problem-solving abilities, and attention to detail enable effective collaboration with fitness professionals and clear presentation of insights. These skills are essential for transforming raw fitness data into actionable strategies that improve performance and client outcomes.

What is the difference between Professional Fitness Data Analytics vs Fitness Data Analyst?

AspectProfessional Fitness Data AnalyticsFitness Data Analyst
Required CredentialsCertifications in data analysis, fitness industry knowledgeData analysis certifications, fitness background beneficial
Work EnvironmentGyms, fitness centers, health clubs, wellness companiesGyms, health organizations, fitness tech companies
Industry UsageDesigns fitness programs, tracks client progress, analyzes health dataInterprets fitness data, reports trends, supports fitness strategies

Professional Fitness Data Analytics focuses on applying data analysis specifically within the fitness industry to improve client outcomes and program effectiveness. Fitness Data Analysts perform similar tasks but may have a broader scope across various health sectors. Both roles require data skills and fitness knowledge, but Professional Fitness Data Analytics emphasizes industry-specific applications.

What cities are hiring for Professional Fitness Data Analytics jobs?

Cities with the most Professional 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 Professional Fitness Data Analytics jobs?

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

Professional Fitness Data Analytics jobs near you

Lead Data Analytics

Alliance Sourcing Network

Las Vegas, NV • On-site

Other

Posted 3 days ago

New

Job description

Not accepting resumes from third parties
Perm Opportunity (client does not sponsor now or in the future)
Onsite in Nevada (open to candidates who can relocate)

We re looking for a Lead Data Analytics professional to turn data into real-time insights that shape customer experiences, improve app performance, and drive smarter business decisions. This role is ideal for someone who thrives in a fast-moving environment, thinks critically under pressure, spots patterns quickly, and knows how to turn complex data into clear, actionable recommendations.

What You ll Do
  • Own and optimize key performance indicators (KPIs) from initial definition through ongoing measurement and improvement.
  • Build, maintain, and evolve dashboards and analytics that provide actionable insights to Developers, Product teams, and Leadership.
  • Analyze customer behavior, application performance, and experimentation results, including A/B tests, to identify what s working and what needs to change.
  • Identify trends, anomalies, risks, and opportunities quickly and translate findings into meaningful actions.
  • Turn complex datasets into clear, compelling stories that help stakeholders understand the why behind the numbers and make confident decisions.
  • Partner closely with Design, Product, Engineering, and Management in a collaborative, rapid-iteration environment.
  • Challenge assumptions and uncover new opportunities through data-driven problem solving.
Qualifying candidates will have:
  • Strong analytical instincts with the ability to think independently, solve ambiguous problems, and make sound decisions.
  • Comfort working with incomplete, evolving, or imperfect data in a fast-paced environment.
  • Demonstrated ability to influence business and product decisions, rather than simply report results.
  • Bachelor s degree in Statistics, Applied Mathematics, Data Science, or a related quantitative field.
  • Strong proficiency in SQL, Tableau or Power BI, Excel, and Python or R.
  • Hands-on experience with A/B testing, experimentation, and performance measurement.
  • Excellent communication skills, with the ability to explain complex analytical findings to both technical and non-technical audiences.

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