UAS - Data & Analytics Lead

About The Company
VIWELL is a holistic corporate and community well-being platform dedicated to enhancing health, balance, and longevity. Through six core pillarsPhysical, Nutritional, Mental, Social, Financial, and Professional, we provide science-backed, personalized support. Our technology and culturally relevant approach empower individuals and organizations to thrive and create lasting and Analytics Lead (Wellness & Health Tech)

Location :
India (Hybrid) applicants must be based in India

Department :
AI and Data Science

Reports To :
Chief AI Officer

Role Overview
The Data & Analytics Lead will play a critical role in building VIWELLs analytics foundation, ensuring the company has a reliable source of truth, consistent metric definitions, and high-quality insights that drive business and product decisions.

This role requires strong analytical leadership, hands-on technical ability, and a structured approach to delivering dashboards, experiment readouts, and user behavior insights. The ideal candidate brings experience in digital analytics (GA4, Mixpanel), SQL-based data modelling, retention analysis, and data storytellingideally within a fast-paced, product-focused or startup environment.

The Data & Analytics Lead will work closely with Product, Data/ML Engineering, Backend, and Executive Leadership to establish taxonomy, tracking plans, dashboards, and analytics frameworks that support VIWELLs growth and personalization strategy.

Key Responsibilities

• Define tracking taxonomy and source-of-truth metrics in partnership with Product, Data/ML, and Engineering teams.
• Build and maintain dashboards for retention, engagement funnels, cohorts, and user journey drop-offs across key user segments.
• Instrument exposure and outcome events required for experiments, personalization models, and product insights.
• Deliver weekly readouts and executive insights, highlighting trends, anomalies, opportunities, and recommended actions.
• Develop and govern a data dictionary, ensuring consistent metric definitions and clear lineage across all analytics outputs.
• Maintain a structured dashboard catalogue and ensure data accessibility, quality, and usability across stakeholders.
• Collaborate cross-functionally to influence decisions with data and ensure analytics integration across product and growth initiatives.
• Run ad-hoc deep dives into user behavior, retention drivers, and feature performance to support product optimization.

Qualifications & Experience

• Bachelors or masters degree in data science, Analytics, Engineering, Computer Science, Mathematics, or a related field.
• 5- 7 years of experience in digital analytics, product analytics, or data analytics roles, ideally in B2C or mobile/app environments.
• Strong hands-on experience with GA4 or Mixpanel, SQL, and data modelling.
• Experience working with Databricks SQL, retention analysis, cohort modelling, and experiment evaluation.
• Proven ability to deliver clear, structured dashboards and high-impact insights for business and product teams.
• Excellent communication and data storytelling skills, with the ability to translate complex data into actionable recommendations.
• Experience working cross-functionally with Product, Engineering, and Growth teams in fast-paced organizations.
• High attention to detail, strong governance mindset, and ability to maintain consistent metric definitions across teams.

Key Competencies

• Digital Analytics & Behavioral Insight
• Funnel, Cohort, and Retention Analysis
• Experimentation Frameworks & Evaluation
• SQL & Data Modelling
• Data Storytelling & Executive Communication
• Analytical Problem-Solving
• Metric Governance & Taxonomy
• Cross-Functional Collaboration
• High Ownership & Accountability

What We Offer

• Competitive salary package based on experience.
• Opportunity to work on high-impact, customer-facing digital products in a rapidly growing sector.
• Collaborative, mission-driven, and innovation-focused work culture.
• Career advancement opportunities within the evolving wellness and technology ecosystem.

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