Data Analyst - Central Analytics

Kapiva’s interview process typically spans three rounds: an initial aptitude test, a technical interview that delves into SQL queries, cohort analysis, and basic Python, followed by an HR round assessing cultural fit and communication skills. The difficulty is moderate, with emphasis on practical analytics scenarios; practicing real‑world case studies and SQL window functions greatly helps.

Kapiva promotes a vibrant, learning‑centric culture where employees are encouraged to experiment and take ownership. The company offers clear growth pathways, regular knowledge‑sharing sessions, and a healthy work‑life balance with flexible timings and occasional remote days.

Graduates (B.Tech/B.E., B.Sc., B.Com, MBA) in Statistics, Mathematics, Computer Science, Economics, Business Analytics or related fields. Minimum 60% aggregate or CGPA 6.0/10. No active backlogs at the time of joining. Freshers from the 2024‑2025 batch are preferred. Strong analytical mindset and willingness to learn are essential.

Round 1: Aptitude & Logical Reasoning → Round 2: Technical Interview (SQL, Analytics Case Study, Python basics) → Round 3: HR Interview

Kapiva is a fast‑growing health‑tech startup that blends traditional Ayurvedic wisdom with modern science to deliver personalized wellness solutions. Founded in 2015, the company offers a range of nutraceuticals, supplements, and digital health services, leveraging data‑driven insights to improve product efficacy and customer experience. With a strong presence across major Indian metros and a rapidly expanding e‑commerce footprint, Kapiva has positioned itself as a leader in the wellness space, attracting investors and top talent alike. The organization prides itself on a collaborative culture where cross‑functional teams work together to solve real‑world health challenges, and it encourages continuous learning through mentorship, internal workshops, and exposure to cutting‑edge analytics tools. The role of Data Analyst – Central Analytics sits at the heart of Kapiva’s growth engine. The analyst will partner with CRM, marketing, and product teams to uncover user behavior patterns, diagnose churn drivers, and devise data‑backed strategies that boost customer lifetime value (LTV). By translating raw event data into actionable business recommendations, the analyst will directly influence retention initiatives, promotional campaigns, and product roadmap decisions. This is an ideal opportunity for fresh graduates who are passionate about turning numbers into narratives that drive tangible business impact. Key responsibilities include: 1. Analyzing customer cohorts, retention curves, and churn metrics across the entire user lifecycle. 2. Building and monitoring core KPIs such as Retention Rate, Repeat Purchase Rate, LTV, and CAC. 3. Identifying drop‑off points in the user journey and recommending product or communication improvements. 4. Designing, executing, and evaluating CRM campaigns (email, WhatsApp, push, SMS) through rigorous A/B testing. 5. Performing segmentation using RFM analysis, purchase frequency, and engagement signals. 6. Measuring the impact of discounts, loyalty programs, subscription models, and nudges on user retention. 7. Developing and maintaining interactive dashboards and periodic reports for senior leadership. 8. Providing concise insights and actionable recommendations to support strategic decision‑making. 9. Collaborating with data engineering to ensure clean, event‑based data pipelines (GA4, Webengage). 10. Exploring predictive retention models using Python and basic statistical techniques. Tech stack: Advanced SQL (CTEs, window functions), Excel/Google Sheets, BI tools (Looker, Tableau, Power BI, Metabase), GA4/Webengage event data, Python (pandas, scikit‑learn – nice to have). Growth path: Starting as a Junior Analyst, high performers can progress to Senior Analyst, Analytics Lead, and eventually Head of Central Analytics, with opportunities to lead cross‑functional data science projects and influence company‑wide strategy. Why join Kapiva? You will work in a purpose‑driven environment that values health, innovation, and data excellence. The company offers a competitive salary, flexible work arrangements, mentorship from seasoned data professionals, and the chance to see your analyses directly shape product and marketing decisions that improve millions of lives.