Posted May 8, 2026
Key Responsibilities:
Define and own the analytics and decision intelligence roadmap aligned with Paytm Moneys growth, engagement, and revenue goals. - Translate business problems into structured analytical and AI-led problem-solving frameworks across acquisition, activation, trading behavior, retention, and monetization. - Drive a data-first and AI-enabled decision culture across various teams. - Evolve the analytics function from descriptive reporting to predictive and prescriptive decision support. - Identify high-impact use cases for AI/ML to improve conversion, retention, customer engagement, monetization, or operational efficiency. - Analyze user behavior across equities, derivatives, and mutual funds journeys. - Build deep insights on trading frequency, portfolio behavior, SIP trends, churn, investor segmentation, and cohort performance. - Develop analytical frameworks for order flow, liquidity behavior, margin usage, derivatives participation, and investment lifecycle progression. - Drive end-to-end funnel analytics across acquisition, onboarding, activation, engagement, and retention. - Build and optimize core business models such as CAC, LTV, cohort retention, attribution, and profitability measurement. - Identify and prioritize drop-offs across key journeys and support monetization strategy. - Lead the development and application of advanced analytics and AI/ML models for various business aspects. - Drive AI adoption across analytics workflows and enable use cases where AI can improve insight discovery, data interpretation, and operational speed. - Partner with Product teams to enhance user journeys, onboarding experiences, and feature adoption. - Build and institutionalize robust experimentation frameworks and ensure rigorous measurement and evaluation. - Partner with Data Engineering and platform teams to build robust data pipelines, warehousing, and reporting systems. - Act as a strategic thought partner to leadership and collaborate across various teams. - Mentor teams to raise the bar on problem structuring, business storytelling, technical rigor, and analytical thinking. Qualifications & Experience:
1215+ years of experience in analytics, decision science, or data science with exposure to fintech, broking, wealth-tech, or investment platforms. - Strong understanding of equities, derivatives, mutual funds, and digital investing/trading ecosystems. - Proven experience in building and scaling analytics functions with measurable business impact. - Experience in applying AI/ML techniques to solve business problems. - Strong exposure to predictive modeling, experimentation, customer segmentation, and personalization. - Expertise in SQL, Python/R, BI tools, and modern data warehousing/transformation ecosystems. - Ability to work effectively across teams and translate complex analysis into action. - MBA/Engineering/Statistics/Economics from a reputed institute; CFA or equivalent financial market understanding is a plus.
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