Senior Product Analyst

About Pluang

Pluang is Indonesia's leading multi-asset investment platform, offering products such as Crypto, US Stocks, Indonesian Stocks, Mutual Funds, and Gold. Our mission is to make investing accessible, seamless, and secure — so more Indonesians can achieve financial independence. Backed by $120M+ in funding from global investors like Accel and Openspace Ventures, we're one of Indonesia's fastest-growing fintechs.

Role Overview

We are looking for a Senior Product Analyst to own the analytics layer behind Pluang's product decisions. You will work directly with Product Managers across our asset classes — Global Stocks, Crypto and Indonesian Equities — to define how we measure success, find where users drop off or thrive, and turn data into clear product recommendations.

This is a product role, not a reporting role. We want someone who frames the right question before running the query, works independently through ambiguous problems, and brings a point of view to the table. You will have high ownership and a direct line of sight from your analysis to what ships. You will use AI tools like Claude as a core part of how you work, to take analysis deeper and faster than traditional approaches allow.

What You'll Do

Shape Product Decisions with Data

• Partner with Product Managers to define success metrics, guardrails and North Star measures for features and product lines.
• Frame ambiguous business questions into structured analyses, and drive them end to end: from hypothesis to recommendation.
• Bring a point of view to roadmap discussions — size opportunities, quantify trade-offs, and flag what the data does and does not support.
• Present insights clearly to product, design, engineering and leadership audiences.

Own Product Health and Funnels

• Build and maintain funnels across key investor journeys: onboarding and 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, and turn findings into concrete next steps for the product team.
• Set up dashboards and alerts that let PMs self-serve on day-to-day metrics, so analysis time goes to deeper questions.

Drive Experimentation

• Design A/B tests with PMs: hypotheses, sample sizes, success criteria and test duration.
• Analyse results rigorously, call out biases and noise, and give a clear ship / iterate / stop recommendation.
• Help build a consistent experimentation practice across product teams.

Strengthen the Analytics Layer

• Work hands-on in BigQuery and Mixpanel (and similar tools) to query, model and interpret product and user behaviour data.
• Define event tracking and instrumentation requirements with PMs and engineers, and ensure data is reliable before decisions are made on it.
• Work closely with the Data Engineering team, who own pipelines and infrastructure, so the right data is available for product questions.

Use AI for Deeper, Faster Analysis

• Use AI tools such as Claude as a core part of your workflow: to explore data, write and review SQL and Python, test hypotheses and surface patterns faster.
• Go deeper than manual analysis allows: synthesise user feedback at scale, root-cause metric movements, and model scenarios quickly.
• Check AI-generated output rigorously: the logic, the data and the numbers must hold up before they inform a decision.
• Build reusable AI-assisted workflows and share them, so PMs and the wider team can answer more questions themselves.

Required

• Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Mathematics or a related quantitative field.
• 3–4 years of experience in product analytics, ideally embedded within a product team rather than a central data or BI function.
• Experience in fintech, with a strong preference for brokerage, trading or investment platforms.
• Strong SQL skills and comfort working with large, event-level datasets.
• Hands-on experience with funnel, cohort, retention and experimentation analysis.
• Structured problem-solving: able to break an open-ended question into a clear analytical approach without step-by-step direction.
• A track record of high ownership — analyses you drove to a decision, not just delivered.
• Clear written and verbal communication, with the ability to turn findings into a crisp recommendation.
• Hands-on experience using AI tools (e.g. Claude, ChatGPT) in your analytical work, with good judgement on when to rely on their output and when to verify it.

Nice to Have

• Experience with GCP / BigQuery and Mixpanel, or equivalent product analytics tools (Amplitude, CleverTap, Looker, Metabase).
• Python or R for deeper statistical analysis.
• Understanding of retail investing journeys — KYC, funding, order placement, portfolio and P&L.
• Exposure to Indian/US/Indonesian equities or Crypto markets.
• Experience working with distributed teams across countries.
• Personal interest in investing and financial markets.

Why Join Pluang?

• Competitive compensation package and performance-based incentives.
• Direct impact: your analysis shapes what ships across a multi-asset investing platform.
• High ownership and close work with Product, Engineering, Design and leadership.
• Exposure to global and Indonesian investing products and financial markets.
• Learning and development opportunities with strong mentorship and career growth.
• Flexible policies that support work-life balance and employee well-being.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Want the inside scoop on our culture, the interview process, and the amazing team at Pluang? Click here to find out!

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