- Analyse paid acquisition performance on Meta and Google: CAC, CPA, ROAS by campaign, creative and audience
- Run funnel and cohort analysis from install to signup, approval and paid conversion, with D1/D7/D30 retention
- Build LTV and payback views by channel and cohort to guide budget allocation
- Design A/B tests and incrementality studies, and write transparent readouts
- Measure lifecycle performance
- Own daily and monthly growth reporting and dashboards for leadership Automate recurring analyses so the team spends time on decisions, not data pulls

- 2–3 years in data or growth analytics Advanced SQL: joins, window functions,
- CTEs on large event tables Python with pandas, including automating recurring analyses
- Working knowledge of growth metrics: CAC, ROAS, LTV, cohort retention, funnel conversion Stats basics: significance testing,



sample sizing, and common pitfalls in cohort comparisons
- Ability to turn analysis into a clear recommendation for non-analysts Comfort using LLM tools to speed up querying and analysis

Role: Business Intelligence & Analytics - Other, Industry Type: Pharmaceutical & Life Sciences, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Graduation Not Required read more

Key Skills Skills highlighted with ‘‘ are preferred keyskills Data Analytics Advanced SQL QueriesData Analysis ExpressionsData AnalysisPythonPerformance MarketingSQL

📌 Growth Analyst| Info Edge | Bangalore| (Bengaluru)
🏢 Info Edge
📍 Bengaluru