Senior Product Analytics

Aspora, Inc.

Job Overview

Location

Bangalore

Job Type

Full-time

Full Job Description

📋 Description

• Own end-to-end product analytics for one of four verticals: Core Remittance & BBPS, Remittance Experience, Banking (NRE/NRO, Fixed Deposits), or Wealth (Digital Gold, Global Equities), defining metrics, building dashboards, and driving roadmap decisions with data.
• Build and optimize activation and conversion funnels from KYC completion to first transaction, analyzing drop-offs by geography, channel, device, and corridor to achieve a 15–25% improvement in first-transaction rate.
• Design cohort-level retention curves and develop churn prediction models to identify at-risk users 30 days in advance, enabling targeted re-engagement interventions that impact tens of millions in incremental volume.
• Create cross-sell and propensity models to quantify opportunities for remittance users to adopt banking, wealth, or BBPS products, feeding insights into the Next Best Action engine for personalized product recommendations.
• Conduct corridor-level and product-level P&L analysis, evaluating revenue, margins, FX spreads, fees, and unit economics to identify opportunities for 2–3 bps spread improvements that translate to $800K–$1.2M in annual revenue.
• Design and execute statistically rigorous A/B experiments with proper sample sizing, significance testing, and mitigation of pitfalls like novelty effects and Simpson’s paradox, ensuring decisions are data-driven and not based on noisy outputs.
• Contribute to cross-cutting analytics initiatives including building the organization-wide user segmentation model, enhancing experimentation infrastructure, supporting the Next Best Action framework, and developing automated anomaly detection systems.
• Ensure analytics readiness for new product launches by defining key metrics, documenting event instrumentation requirements, establishing baselines, and creating measurement plans prior to go-live — not after.
• Write advanced SQL daily to query datasets of millions to billions of rows, using window functions, CTEs, complex joins, and subqueries to trace data from raw events to final dashboard numbers and validate logic independently.
• Build production-grade, self-serve dashboards in Looker, Tableau, Metabase, Power BI, or Superset using star schemas, measures, and dimensions to enable daily stakeholder usage.
• Apply financial data literacy to analyze transactional data including currencies, exchange rates, fees, spreads, and margins, calculating unit economics like CAC, LTV, and contribution margin to inform business strategy.
• Communicate complex analytical findings clearly to product managers, engineers, and executives, translating dashboards into actionable narratives that drive decisions.
• Use AI tools (ChatGPT, Claude, GitHub Copilot, Cursor) to accelerate SQL writing, hypothesis generation, code debugging, and result summarization, treating AI as a force multiplier for productivity.
• Extend analysis beyond SQL using Python or R for statistical modeling, data wrangling with pandas, predictive modeling with scikit-learn, or building automation scripts for churn prediction and other analyses.
• Work in a fast-paced, high-growth fintech environment with evolving data infrastructure, where you will build analytics capabilities from scratch rather than rely on pre-built data pipelines.
• Collaborate across teams in India, the UK, the UAE, EU, and the US, navigating multi-geography data, regulatory environments, and currency complexities to deliver globally consistent insights.

🎯 Requirements

• Advanced SQL proficiency with daily use of window functions, CTEs, complex joins, and query optimization on datasets of millions to billions of rows
• 5+ years of hands-on product analytics experience at a fintech, payments, or high-growth consumer tech company, serving as the primary analytics partner for a product team
• Expert-level proficiency in at least one BI tool (Looker, Tableau, Metabase, Power BI, Superset) with experience building production-grade, self-serve dashboards
• Deep experience in funnel analysis, cohort analysis, A/B experimentation design, and behavioral segmentation
• Financial data literacy: ability to analyze transactional data including FX spreads, fees, margins, and calculate unit economics (CAC, LTV, contribution margin)
• Proficiency in Python or R for statistical modeling, data wrangling, or automation beyond SQL

🏖️ Benefits

• Work with a team of 150+ across India, the UK, the UAE, EU, and the US on a borderless financial operating system backed by Sequoia Capital, Greylock Partners, Hummingbird Ventures, Y Combinator, and Global Founders Capital
• Build analytics capabilities from zero to millions of users in a high-growth fintech environment with extreme ownership and radical candor culture
• Influence product decisions at scale — a 1% conversion improvement translates to millions in incremental volume
• Contribute to cross-cutting initiatives shaping the entire organization’s analytics infrastructure and data culture
• Use AI tools as a force multiplier to increase productivity 2–3x in daily analytical workflows
• Engage with complex, real-world financial data across multiple countries, currencies, and regulatory environments

Skills & Technologies

Python

GitHub

Pandas

Senior

Onsite

$800k-0k

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Aspora, Inc.

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About Aspora, Inc.

Aspora is a company focused on providing innovative solutions in the data analytics and artificial intelligence space. They specialize in developing advanced platforms that enable businesses to leverage their data for better decision-making, improved efficiency, and enhanced customer experiences. Their offerings typically include tools for data integration, analysis, visualization, and predictive modeling. Aspora aims to democratize access to powerful AI capabilities, allowing organizations of all sizes to unlock the full potential of their information assets. The company is committed to continuous research and development to stay at the forefront of technological advancements in AI and data science, offering scalable and adaptable solutions to meet evolving market needs.

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