Headline

Analytics at PhonePe | Ex-Jupiter Money | NIT Bhopal

About

Results-driven Analyst with 2+ YoE driving end-to-end analytics in Fintech and Advertising sector (PhonePe, Jupiter Money).Specializing in event-based product analytics, growth strategy, SQL, BI tools(Tableau, Qlik etc), Excel and data warehousing techniques to drive measurable business outcomes. Currently owning Ads & Rewards portfolio, driving insights that influence 30Cr+ in revenue, with previous experience across payments, investments, and user onboarding. Proven track record as the analytics SME who proactively identifies growth opportunities, independently delivering actionable insights that scale business and improve the core product experience.

Location

Bangalore Urban

AI stack

claude code

gemini

github copilot

openai

claudecode

githubcopilot

Work experience

Business Analytics at PhonePe, Jan 2025 - Present · 1 y 8 mo, Bengaluru, Karnataka, India, 1. Stabilized PhonePe’s RuPay Credit Card market share by analyzing competitor penetration and identifying target cohorts 2. Increased ATV by 20% and TPC by 14% by analyzing user bleed patterns to launch Resurrection and Clawback campaigns 3. Established the foundational analytical infra for Tokenization and Tap&Pay also providing critical GTM analysis for a successful launch and product growth 4. Drove a 113% increase in engagement through feedback for product decisions by leading the end-to-end post-launch analysis for the Rewards Product UX revamp 5. Proactively automated analysis frameworks (Source-Wise Funnels, User Profiling etc) accelerating business monitoring, recurring analyses and scaling operational efficiency

Data Analyst at Jupiter, Dec 2023 - Dec 2024 · 1 y, Banglore, 1. Increased User Account Funding by 25% by investigating and resolving deposit funnel leakage using product analytics 2. Reduced Acquisition CAC by 30% by redefining user acquisition metrics & identified cohorts by source for improvement 3. Improved RD balance by 40% and retention by 25% via improving product experience through user behaviour analysis and product positioning feedback 4. Decreased Daily Refresh time by 20% by optimizing Tableau dashboards using Data Warehousing Techniques 5. Independently designed and modeled data pipeline from segregated data for dashboard consumption leveraging Advanced SQL, hence improving analyst efficiency by 5% 6. Spearheaded end-to-end analytics by developing dashboards, data pipeline, product funnels and cohort analyses for tracking performance and engagement for launch of Loans against Mutual Fund’s and Flexi FD

Education

Bachelor of Technology - BTech, Mechanical Engineering, Maulana Azad National Institute of Technology