Job Description:

• App funnel optimization
• Identify high-impact growth opportunities using funnel, cohort, and segmentation analysis; translate insights into testable hypotheses.
• Design and run a structured experimentation program (A/B, multivariate where relevant)
• Outbound channel optimization (Push notifications, SMS, email)
• Improve targeting, timing, frequency, and personalization to drive retention and LTV
• Build segment strategies + suppression/fatigue controls to protect user experience
• Measurement & growth performance management
• Own growth KPIs (e.g., MAU, retention, conversion, ARPU/LTV)
• Maintain dashboards and run weekly/monthly performance reviews with clear actions
• Work closely with data, product, and marketing teams to identify high-ROI levers for in-app engagement and monetization.
• Analyze user behavior and cohorts to uncover friction points and improve lifetime value (LTV).
• Establish reusable playbooks (experiment templates, segmentation standards, campaign QA checklist, post-test learnings repository).

Skills/Experience

• 7–10 years experience in growth analytics, experimentation, lifecycle CRM, performance marketing analytics, or product analytics for a consumer app.
• Proven record in driving MAU, retention, and conversion for consumer apps (telecom, fintech, or digital platforms preferred)
• Strong knowledge of mobile analytics (Braze, Google analytics etc)