Lead - App Analytics

Role snapshot

You will lead App Analytics for Aditya Birla Capital Digital (ABCD), owning the end-to-end analytics for mobile app and web platforms. The role focuses on driving growth across user acquisition, activation, engagement, retention, and conversion through deep product analytics and data-driven decisioning.

This is a leadership role requiring strong hands-on expertise in product analytics, experimentation, and data science, along with the ability to influence cross-functional teams and build a high-performing analytics function.

Location: Thane / Mumbai

About Aditya Birla Capital

Aditya Birla Capital Limited (ABCL) is the holding company for the financial services businesses of the Aditya Birla Group, offering solutions across Protecting, Investing, and Financing.

With 34,000+ employees, 1,200+ branches, and 2,00,000+ partners, ABCL operates at scale and is part of the Aditya Birla Group spanning 36 countries globally.

About the Team: Aditya Birla Capital Digital (ABCD)

. ABCD is a wholly owned subsidiary established in 2023 to drive digital-first financial services
. It is building an omni-channel D2C platform (app + web) for seamless customer journeys
. Drives acquisition, engagement, and cross-sell across lending, investments, insurance, and payments
. Focused on leveraging data, analytics, and AI to power growth and customer experience

About the Role: App Analytics & Product Data Science

We are looking for a senior analytics leader with strong experience in app/product analytics to drive growth and optimization for ABCD's digital platforms.

You will help ABCD:
. Scale app installs and improve onboarding/activation
. Optimize key funnels and user journeys
. Improve engagement, retention, and feature adoption
. Deliver personalized experiences across digital touchpoints

Key responsibilities

. Define app analytics roadmap aligned to key metrics like installs, DAU/MAU, activation, retention, and conversions

. Own end-to-end funnel analytics across acquisition onboarding activation engagement conversion retention

. Drive deep user behavior analytics using clickstream, session tracking, journey mapping, and cohort analysis

. Identify and fix drop-offs across journeys-improving UX, feature adoption, and conversion rates

. Partner with product & UX teams to influence feature design, navigation, and customer journeys

. Build ML models such as churn prediction, engagement propensity, and next-best-action (NBA) for personalization

. Enable personalization at scale via contextual nudges, targeted messaging, and recommendation engines

. Own experimentation frameworks (A/B testing, multivariate testing) to optimize product features and journeys

. Track feature performance-adoption, usage, and business impact of releases and enhancements

. Leverage AI-first approach using GenAI/AI tools for automated insights, anomaly detection, and self-serve analytics

. Collaborate with marketing analytics on attribution, paid acquisition, and in-app user behavior alignment

. Partner with data engineering to ensure robust event tracking, instrumentation, and scalable data pipelines

. Define KPIs and dashboards across DAU/MAU, retention cohorts, session depth, feature usage, and conversion

. Enable cross-sell journeys within the app across lending, investments, insurance, and payments

. Ensure data quality & governance across tracking frameworks and analytics implementation

. Build and lead a high-performing analytics team driving strong execution and experimentation culture

What you bring

. Bachelor's/Master's in Mathematics, Statistics, Engineering, or a related quantitative field

. 8-12 years of experience in app/product analytics, preferably in fintech or consumer tech

. Strong understanding of growth metrics (acquisition, activation, retention, engagement) and product funnels

. Hands-on expertise in Python, SQL, PySpark, and working with large-scale clickstream/event data

. Experience with analytics tools like Firebase, GA, Amplitude, Mixpanel, etc.

. Strong experience in A/B testing, cohort analysis, and user segmentation

. Familiarity with personalization/recommendation systems

. AI-first mindset with exposure to GenAI or advanced analytics workflows

. Strong stakeholder management across product, engineering, marketing, and business teams

. Proven experience in building and leading analytics teams

Why join ABCD

. Own a high-impact role at the heart of ABCD's digital growth strategy
. Work on large-scale product analytics and personalization problems
. Drive measurable impact on app growth, engagement, and revenue
. Build and scale analytics capabilities in a high-growth environment
. Operate in a startup-like setup backed by a strong enterprise ecosystem