Product Analyst 1

Cashfree Payments; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Cashfree Payments is seeking a Product Analyst to join the Payouts and SecureID pods. You will own metrics, analyze merchant behavior, and influence pricing and product direction. This is not a reporting role—your insights should drive what we build and whom we sell to.

Collaborate with PMs, sales, and engineering to answer critical questions quickly. Use AI tools to accelerate queries, build analytics workflows, and uncover growth opportunities across two rapidly expanding products.

Qualifications

• Strong analytical thinking with structured problem solving.
• Hands-on SQL with joins, window functions, and CTEs.
• AI-native approach to analytics and automation.
• Boundary-less ownership and willingness to take on new tasks.
• Clear, actionable communication for cross-functional teams.

Responsibilities

• Own the metrics for Payouts, define and maintain core metrics.
• Identify growth levers from merchant behaviour and usage.
• Size opportunities and build business cases for features and pricing.
• Support product decisions with data alongside PMs and engineering.
• Build with AI to speed up querying and insight generation.
• Tackle ad-hoc problems like competitive research or pricing analysis.

Skills

Analytical thinking

SQL proficiency

AI tooling

Ownership

Communication

Tools

Metabase

PostHog

Python

Job description

About the role

Cashfree Payments is looking for a Product Analyst to join the pod that owns Payouts, our API-based disbursal infrastructure, and SecureID, our identity verification and fraud detection platform. You will work across both products. You'll be the person the pod relies on to understand what's happening in the business, why it's happening, and what we should do about it.

Both products are entering an aggressive growth phase. Your analysis will directly shape what we build, who we sell to, and how we price. This is not a reporting role. We want someone who finds the insight before anyone asks for it.

What you'll do

• Own the metrics for Payouts. Define, build, and maintain the core metrics for Payouts, including volumes, revenue, merchant activation, retention, success rates, and API performance. Make these the single source of truth for the pod.
• Find growth levers. Dig into merchant behaviour, usage patterns, churn, and cross-sell signals to identify where revenue is being left on the table. Turn those findings into clear recommendations.
• Size opportunities and measure impact. Build business cases for new features, pricing changes, and segments. After launch, measure whether they actually worked.
• Support product decisions with data. Partner with PMs, product marketing, sales, and engineering to answer questions quickly and rigorously, from "why did success rates drop on Tuesday" to "which merchant segment should we target next quarter."
• Build with AI, not just use it. Use AI tools to speed up querying, analysis, and insight generation, and help the pod build AI-assisted workflows that make everyone more data-fluent.
• Pick up whatever the pod needs. Take on problems that don't fit neatly into an analyst job description, whether that's competitive research, merchant deep-dives, pricing analysis, or ops problems.

What we're looking for

Must-haves

• Strong analytical thinking. You break ambiguous problems into structured questions, pick the right data to answer them, and get to a defensible conclusion.
• Hands-on SQL. You write complex queries yourself (joins, window functions, CTEs, aggregations on large transactional datasets) and you can explain your logic.
• AI-native way of working. You use AI tools (Claude, ChatGPT, Cursor, or similar) as a core part of your analytics workflow for writing and debugging queries, exploring data, summarising findings, and automating repetitive work. You can show us how.
• Boundary-less ownership. You don't wait for tasks to fit your role. You step into new problems, take on new responsibilities willingly, and see them through.
• Clear communication. You can turn a messy analysis into a crisp narrative that a PM, a salesperson, or leadership can act on.

Good to have

• 1 - 3 years in product analytics, business analytics, or a similar role, ideally in fintech, payments, or B2B SaaS
• Familiarity with Indian payment rails (UPI, IMPS, NEFT) or identity and KYC infrastructure
• Experience with BI tools such as Metabase, PostHog, or equivalents
• Working knowledge of Python for analysis

Why join

• Work on two products at a turning point, with a clear mandate to double revenue this year
• Direct exposure to product strategy and leadership decisions from day one
• Room to grow into a PM role for people who show ownership beyond their brief