At a glance
- Company
- Fitness Goal 4U
- Location
- Chandigarh
- Work arrangement
- On-site
- Employment type
- Full-time
- Salary
- INR 40,000 to 75,000 per month
- Opened
- Nov 7, 2026
- Closes
- Open until filled
About the role
The Fitness Data Analyst role involves cleaning and analyzing wearable and workout datasets and defining fitness product metrics and usage cohorts. Useful expertise includes SQL and practical experience in workout and activity data analysis. This template does not advertise a vacancy.
Responsibilities
- Clean and analyze wearable and workout datasets.
- Define fitness product metrics and usage cohorts.
- Build dashboards and automated reporting queries.
- Translate data findings into actionable product insights.
- Agree on data definitions and reporting context with coaches, analysts or product stakeholders.
- Record outcomes from workout and activity data analysis and maintain clear, privacy-conscious notes using SQL where appropriate.
Qualifications
- Suggested educational or professional background: Degree in statistics, data science, computing or sport analytics.
- Illustrative experience for editorial planning: 2–5 years in workout and activity data analysis; employer requirements must be confirmed.
- Practical familiarity with SQL, Python, Excel and BI dashboards.
- Additional relevant experience or credentials: Experience with fitness telemetry or consumer app analytics (preferred example).
- Demonstrate data validation, reproducible analysis, thoughtful visualization and clear interpretation.
How to apply
Template only: there is no verified open Fitness Data Analyst vacancy and applications are not being accepted. After an official vacancy is approved, candidates may apply via the verified website application form with a CV, contact details and sample analysis, dashboard or portfolio. Do not share personal documents before the job and application process are confirmed.
Frequently asked questions
What daily duties are typical for a Fitness Data Analyst?
Typical work includes cleaning and analyzing wearable and workout datasets, defining fitness product metrics and usage cohorts, building dashboards and automated reporting queries, and translating data findings into actionable product insights. Day-to-day priorities and performance standards should be agreed with the hiring manager before any position is advertised.
Which qualifications are relevant to Fitness Data Analyst work?
Relevant qualification paths include: Degree in statistics, data science, computing or sport analytics. Experience with fitness telemetry or consumer app analytics (preferred example). Required qualifications, registrations or certifications must be checked for the actual work and location.
What experience can demonstrate Fitness Data Analyst capability?
Evidence of workout and activity data analysis is more meaningful than a title alone. A suggested 2–5-year experience range is provided for editorial planning, not as an employer-approved requirement. Examples of cleaning and analyzing wearable and workout datasets can demonstrate readiness.
Which tools support workout and activity data analysis?
Relevant tools or methods include SQL, Python, Excel and BI dashboards. Candidates should be able to explain how these support workout and activity data analysis, describe practical work they have done and show sound judgment about their use.
How should performance and safety be assessed for a Fitness Data Analyst?
Demonstrate data validation, reproducible analysis, thoughtful visualization and clear interpretation. For a Fitness Data Analyst, quality can also be evaluated through translating data findings into actionable product insights and clear explanations of outcomes, risks and appropriate next steps.
Apply for this job
Fitness Data Analyst · Fitness Goal 4U