Product Analyst

This role sits at the intersection of Product and Marketing/Growth, the two teams that depend most heavily on user and transaction data but often ask different questions of it. We need someone who can serve both without dropping either.

Responsibilities:

• Own and continuously monitor the consumer funnel end-to-end: acquisition, activation, transaction, and retention; flag drop-offs to the relevant team (product or marketing) with a diagnosis, not just a number.
• Act as the analytics point of contact for both product and marketing/growth, prioritizing and fulfilling requests from both without one crowding out the other.
• Pull and reconcile data across multiple sources, product/transaction databases, CleverTap, GA4, and CRM into a single consistent view.
• Build and maintain dashboards (Power BI) for leadership, product, and marketing stakeholders; automate recurring reports to reduce manual pulls.
• Support design and readout of A/B tests, both product feature tests and marketing campaign/offer tests.
• Proactively surface the "why" behind metric movements (a funnel drop, a campaign underperforming, a feature not landing) and recommend next steps.
• Query and analyze large-scale consumer transaction and event data using SQL.
• Handle ad-hoc data requests and use scripting (Python preferred) to speed up recurring or complex analysis.

Requirements:

• 2-3 years of experience in product analytics, data analytics, or growth analytics, ideally in a B2C/consumer internet environment (fintech, mobility, e-commerce, or similar high-transaction-volume products).
• Strong hands-on SQL; able to write complex queries and work independently with large datasets.
• Working knowledge of Power BI (or similar BI tools) for dashboarding and reporting.
• Basic to intermediate scripting ability (Python preferred) for automation and analysis.
• Solid grounding in funnel analysis, cohort analysis, and A/B testing; able to speak both "product" and "marketing" language around these concepts.
• Demonstrated ability to work across two stakeholder groups with different priorities, without needing constant hand-holding on what matters to each.
• A growth mindset; proactive, comfortable in a fast-paced environment, and driven to identify opportunities rather than just fulfill data requests.
• Strong communication; able to translate data findings into clear recommendations for both product and marketing audiences.