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Professional Fitness Data Analytics Jobs (NOW HIRING)

Microsoft

Senior Manager - Data Analytics

Redmond, WA · On-site

Evaluate data quality, integrity, and fitness-for-purpose prior to analysis; independently address or escalate data issues in partnership with Data Engineering and other teams. * Translate analytical ...

CFGI

Data & Analytics - Consultant

Charleston, WV

We are actively expanding our Data & Analytics practice and seeking early-career professionals with a passion for helping organizations transform data into actionable business insights. We are ...

Tenthpin

Director - Data & Analytics

Sandy Springs, GA · On-site +1

Hybrid role* (Remote/ on-site) , any location United States Director - Data & Analytics At Tenthpin ... that encourages professional growth and development. Are you passionate about digitally ...

University Health

Data Analytics Manager

San Antonio, TX · On-site

$36.66 - $60.70/hr

POSITION SUMMARY/RESPONSIBILITIES Oversees analytical support and data innovation for ... Minimum of five years professional experience in a health services data environment. Extensive ...

Retailcloud

Data Analytics Intern

Concord, CA · On-site

$60K - $70K/yr

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 ...

Sralab

Manager, Data Analytics

Chicago, IL · On-site

Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term organizational relationships and networks. The Manager, Data Analytics will consistently demonstrate support ...

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

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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Showing results 21-40

All JobsProfessional Fitness Data Analytics Jobs

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 Aug 9, 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 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 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.

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.

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 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

Senior Manager - Data Analytics

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 6 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies

Job description

Overview
Microsoft's Audit, Risk and Compliance (ARC) organization is building a data-driven capability to complement traditional assurance work. This role is focused on proactive discovery: identifying emerging risks, "soft" signals, and systemic patterns by connecting data across organizational seams that complements traditional audit coverage models.
As Senior Manager - Data Analytics on the ARC team, you will operate at the intersection of data analytics, audit context, and business intuition. You will analyze large, fragmented datasets to surface insights that are not readily visible - translating raw signals from audit findings, ethics and compliance data, investigation outcomes, and management actions into forward-looking risk intelligence.
This is not a traditional audit, reporting, or business intelligence role. This Senior Manager - Data Analytics role is designed to help ARC answer the question: "Where should we be looking that we aren't today?" Success will depend as much on curiosity, contextual judgment, and speed of iteration as on technical skill.
Responsibilities
  • Analyze large and diverse datasets across ARC - including audit findings, ethics and compliance signals, investigation data, and management action items - to uncover risk signals and patterns not visible through standard coverage approaches.
  • Develop and test analytical hypotheses in a rapid, experimental model; iterate on approaches across weeks rather than quarters and document learnings from both successful and unsuccessful analyses.
  • Connect disparate data sources across organizational boundaries to surface systemic risks, emerging trends, and areas that warrant proactive audit attention.
  • Apply a "red team" lens to ARC's risk landscape: scan broadly across data, generate new hypotheses about where risk may be concentrating, and present findings that challenge existing assumptions.
  • Determine appropriate analytical and statistical techniques to address audit and risk research questions; execute analyses and interpret results with clear, actionable recommendations.
  • Build and maintain reusable analytical frameworks, models, and self-service reporting solutions that improve ARC's ongoing visibility into enterprise risk.
  • Evaluate data quality, integrity, and fitness-for-purpose prior to analysis; independently address or escalate data issues in partnership with Data Engineering and other teams.
  • Translate analytical findings into clear risk narratives - presenting insights through dashboards, visualizations, reports, and talking points tailored to audit, compliance, and leadership audiences.
  • Share and simplify complex analyses into accessible summaries that enable decision-makers to act on data-driven recommendations quickly.
  • Work within and across teams - including audit leads, investigation teams, compliance operations, and data engineering - to align data sources, methodologies, analytical tools, and business priorities.
  • Support and advise on the design of formal experiments or analytical frameworks to evaluate the impact of new audit approaches, risk controls, or operational changes.
  • Adhere to Microsoft's data privacy and security requirements, responsible AI practices, and classification and governance standards throughout all analytical work.
  • Embody Microsoft's culture and values, modeling a growth mindset, curiosity, and a commitment to inclusion.

Qualifications
Required/minimum qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

Additional or preferred qualifications
  • Exposure to audit, risk management, internal controls, compliance operations, ethics and compliance programs, or financial operations - through prior roles, internships, or coursework.
  • Experience with Python, R, or another scripting/statistical language for analysis, data wrangling, or automation.
  • Experience building dashboards, visualizations, or self-service reporting tools (e.g., Power BI, Tableau, or equivalent).
  • Familiarity with large-scale data platforms or cloud environments (e.g., Azure Synapse, Databricks, Azure Data Lake, or equivalent).
  • Experience identifying patterns or signals in unstructured or cross-domain data; comfort with exploratory data analysis without predefined hypotheses.
  • 1+ year(s) of hands-on experience in data analytics, business intelligence, data science, or a related field - including experience analyzing datasets to answer business or research questions.
  • Proficiency in SQL or equivalent data querying language for extracting, joining, and transforming data from structured sources.
  • Demonstrated ability to interpret analytical outputs and translate findings into clear, audience-appropriate summaries or recommendations.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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