Senior Product Analytics

📋 Description

• • Aspora is seeking a highly skilled and motivated Senior Product Analyst to join our dynamic Analytics team in Bengaluru, India. As a pivotal member of our organization, you will be embedded within one of our four key product verticals: Core Remittance & BBPS, Remittance Experience, Banking (NRE/NRO, Fixed Deposits), and Wealth (Digital Gold, Global Equities). This role transcends traditional dashboarding; you will be instrumental in shaping product decisions through deep analytical insights, building robust measurement frameworks for rapidly scaling products, and designing high-impact experiments that drive significant business growth.
• • You will own the end-to-end product analytics for your designated vertical. This involves defining critical metrics that align with business objectives, developing comprehensive dashboards for daily team monitoring, and surfacing actionable insights that directly influence product roadmap decisions. For remittance products, your responsibilities will include detailed transaction analytics across various corridors, in-depth success/failure analysis, settlement tracking, and strategic pricing optimization. For banking products, you will be responsible for building the analytics layer from the ground up for NRE/NRO accounts and fixed deposits, meticulously defining key metrics, specifying instrumentation requirements, and establishing baseline performance indicators.
• • For wealth management products, your focus will be on analyzing investment behaviors, including buy/sell flows, pricing and spread performance, transaction ticket sizes, frequency of investments, and overall portfolio patterns. You will be a key driver in understanding and optimizing customer engagement within these verticals.
• • A significant aspect of your role will be to build and own activation and conversion funnels. You will meticulously map these funnels, segmenting by geography, channel, device, and transaction corridor, to identify critical drop-off points. A primary objective will be to pinpoint the "activation moment" – the early user behavior that most strongly predicts long-term retention – and rigorously validate this hypothesis with data. Your efforts will be targeted towards achieving a 15–25% improvement in the first-transaction rate through data-driven experimentation and optimization.
• • You will also drive retention and churn analytics initiatives. This includes building sophisticated cohort-level retention curves, developing predictive models to identify at-risk users up to 30 days in advance, and designing targeted interventions to re-engage them. Given Aspora's substantial user base of over 500,000 active users, even marginal improvements in retention can translate into tens of millions in incremental annual volume.
• • Furthermore, you will build cross-sell and propensity models to quantify the significant cross-sell opportunities from remittance users into our banking, wealth, and BBPS products. These models will directly feed into our Next Best Action engine, ensuring the right user is targeted with the most relevant product offering at the optimal time.
• • A critical responsibility will be conducting detailed corridor-level and product-level P&L analysis. You will meticulously analyze revenue, margins, FX spreads, fees, and unit economics at granular levels. With over $6 billion in transaction volume, even a modest 2–3 basis point improvement in average spread can yield an incremental annual revenue of $800,000 to $1.2 million. Identifying and capitalizing on these opportunities will be a key performance indicator.
• • You will design and measure experiments with utmost statistical rigor. At Aspora's transaction scale, imprecise A/B tests can be costly. Therefore, you will be responsible for designing experiments with appropriate sample sizing, conducting significance tests, and communicating results in a manner that directly informs business decisions, going beyond mere statistical outputs.
• • Beyond your direct product vertical, you will contribute to crucial cross-cutting analytics initiatives. This includes assisting in the development of the organization-wide user segmentation model, enhancing our experimentation infrastructure, supporting the Next Best Action framework, and establishing automated monitoring agents designed to detect anomalies proactively before they are identified by human observation.
• • Finally, you will ensure analytics readiness for all new product launches. This involves defining key metrics, documenting detailed event instrumentation requirements, establishing baseline performance metrics, and constructing a comprehensive measurement plan *before* a product goes live, not as an afterthought.