About us:
FIT HUB is a venture -backed technology driven health and wellness startup based in Jakarta, Indonesia. Founded in 2020, FIT HUB’s mission is to democratize access to Health and Wellness for all Indonesians. We believe that everyone should have access to improving their health and wellness, so we’ve built FIT HUB from the ground up to make exercising friendly, affordable, and fun for new gym -goers and fitness -enthusiasts alike.
The Opportunity:
This role offers high ownership with a direct impact on product growth, member engagement, and commercial performance, while working cross -functionally with Product, Commercial, and Data Engineering teams, and providing the opportunity to shape analytics standards, metric definitions, and scalable reporting foundations across the organization.
What You Will Do:
- Own end -to -end analytics delivery: from data exploration and SQL analysis to dashboarding and clear executive -ready storytelling.
- Maintain and improve recurring monthly reporting for Product and Commercial performance (accuracy, consistency, and on -time delivery).
- Build and maintain key product and business funnels (e.g., in -app transactions, class booking funnels, feature usage funnels) and track conversion performance.
- Deliver segmentation and cohort analysis to understand member behavior and identify opportunities to improve engagement and retention.
- Support product experimentation by producing impact readouts using agreed methodology (e.g., A/B test analysis, before -and -after evaluation with clear assumptions).
- Work closely with Data Engineering to ensure trusted datasets, consistent metric definitions, and reliable dashboards.
- Partner with Product, UX, Commercial, and Operations stakeholders for ad -hoc analysis and insight generation; translate business questions into structured analysis plans.
- Provide recommendations based on data findings, and help monitor execution outcomes through clear success metrics.
What We Need:
- Bachelor’s degree in Business, Mathematics, Statistics, Computer Science, Engineering, or related fields (or equivalent practical experience).
- 4 + years experience in Data Analyst / Business Intelligence / Product Analytics roles.
- Strong SQL skills and ability to work with large datasets and event -based data.
- Hands -on experience with BI tools (Looker Studio / Tableau / Power BI or similar) and building dashboards that stakeholders actually use.
- Experience producing structured reports for senior stakeholders (clear narrative, key insights, and action recommendations).
- Strong communication and stakeholder management skills; structured, detail -oriented, and comfortable working cross -functionally.
- Nice to have: experience with experimentation analysis (A/B testing), product analytics tracking (e.g., GA4/event tables), and basic Python for analysis.
