Own product analytics for a fast-growing fintech platform. Partner with PMs to define metrics, run experiments, and drive data-informed product decisions using SQL, BigQuery, and AI tools.

About the Company

Pluang is Indonesia’s leading multi-asset investment platform, offering Crypto, US Stocks, Indonesian Stocks, Mutual Funds, and Gold. Backed by over $120M in funding from global investors like Accel and Openspace Ventures, Pluang is one of Indonesia’s fastest-growing fintechs. The company is expanding its product analytics team in Gurgaon, India, where this role sits.

Role Overview

As a Senior Product Analyst, you will own the analytics layer behind Pluang’s product decisions. You will work directly with Product Managers across asset classes — Global Stocks, Crypto, and Indonesian Equities — to define success metrics, identify user drop-offs, and turn data into clear product recommendations. This is a product role, not a reporting role. You are expected to frame the right question before running the query, work independently through ambiguous problems, and bring a strong point of view to roadmap discussions. You will use AI tools like Claude as a core part of your workflow to go deeper and faster than traditional analysis allows.

Key Responsibilities

• Partner with Product Managers to define North Star measures, success metrics, and guardrails for features and product lines.
• Frame ambiguous business questions into structured analyses and drive them end-to-end from hypothesis to recommendation.
• Size opportunities, quantify trade-offs, and flag what the data does and does not support in roadmap discussions.
• Build and maintain funnels across key investor journeys: onboarding, KYC, funding, first trade, repeat trading, and retention.
• Run cohort, retention, and engagement analyses to understand how different investor segments behave across asset classes.
• Track feature adoption and post-launch performance, turning findings into concrete next steps.
• Design A/B tests with PMs: hypotheses, sample sizes, success criteria, and duration. Analyse results rigorously and provide clear ship/iterate/stop recommendations.
• Work hands-on in BigQuery and Mixpanel to query, model, and interpret product and user behaviour data.
• Define event tracking and instrumentation requirements with PMs and engineers to ensure data reliability.
• Use AI tools (Claude, ChatGPT) to explore data, write SQL/Python, test hypotheses, and surface patterns faster. Build reusable AI-assisted workflows for the wider team.
• Present insights clearly to product, design, engineering, and leadership audiences.

Tech Stack

• Databases & Warehousing: BigQuery (GCP), SQL
• Product Analytics & BI: Mixpanel, Amplitude, CleverTap (similar), Looker, Metabase
• Programming & Statistical Analysis: Python, R (nice to have)
• AI Assistance: Claude, ChatGPT
• Experimentation: A/B testing frameworks, statistical hypothesis testing
• Other: Event tracking instrumentation, cohort/retention/funnel analysis tools

3-4 years of product analytics experience in fintech (preferably brokerage/trading). Strong SQL, funnel/cohort analysis, experimentation. Hands-on with AI tools (Claude, ChatGPT). Bachelor's in quantitative field. Experience with BigQuery, Mixpanel preferred.

Competitive compensation, performance-based incentives, high ownership, mentorship, flexible policies, exposure to global financial markets.