Growth Analytics Manager

Job Purpose:

data-based problem solving within the Growth team

Principal Accountabilities:

1. Business Understanding & Problem Solving

• Partner with Growth and Product teams to understand key challenges and priorities.
• Translate business goals into analytical problems with measurable outcomes.
• Ensure insights directly influence strategy and execution.

2. Analytics & Insight Generation

• Lead analytical projects and dashboards for

  app installs, user funnel, and marketing performance.

• Build models to identify users likely to

  install, churn, or uninstall

  the app.
• Run exploratory analysis to uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity
• Work with data engineering to develop and implement new analytical tools and improve our underlying data infrastructure
• Analyze, forecast, and build custom reports to make key performance indicators and insights available to the entire company

3. Segmentation & Targeting

• Develop data-driven segments for

  Personal Loan, Business Loan, app installs, and engagement features

  like

  Credit Score, Bill Payments, and Standalone Insurance.

• Build and refine

  propensity models

  to predict high-conversion and high-value cohorts.
• Recommend targeting, timing, and communication strategies to improve performance.

4. Marketing Optimization

• Analyze campaign and channel data to

  reduce acquisition cost

  and improve ROI.
• Identify the

  right channel, timing, and frequency

  for customer engagement.
• Support experiments and A/B tests to validate strategies.

Qualifications

• B.Tech from a Tier-1/Tier-2 institute with 4-5 years of experience
• MBA is a plus

Work Experience/Skills

• 4-5 years of relevant proven experience from a numbers-driven and analytical marketing environments - perhaps in an online consumer business or a Bank/NBFC
• Strong data handling, interpretive and problem-solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.
• Skills: R/Python, SQL , Tableau, Advanced Excel including Pivot Tables