Senior Product Analyst – Fintech

inDrive

. Define, calculate, and monitor KPIs for new product features and initiatives across the credit funnel .

Posted 11/3/2026full-timeJakarta • IndonesiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product analytics and data science, with a strong focus on A/B testing, statistical analysis, and SQL proficiency. Capable of delivering actionable insights to influence product decisions and optimize conversion rates in fintech or lending environments.

Highest-signal resume keywords

Product AnalyticsA/B TestingAdvanced SQLPython ProficiencyBI Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KPI DefinitionStatistical AnalysisCausal InferenceTime Series AnalysisData AnalysisData Mart CreationConversion Rate OptimizationProfit ModelingUser Drop-off AnalysisPricing Test Analysis

Soft Skills

Structured ThinkingProduct Mindset

Tools & Technologies

PythonPandasNumpyRedashTableau

Industry Keywords

FintechLendingMarketplace ProductsData Science

Tech Stack

Tools & technologies

NumpyPandasPythonSQLTableau

About the role

Key responsibilities & impact

Define, calculate, and monitor KPIs for new product features and initiatives across the credit funnel
Identify user drop-off points, analyze causes, and determine conversion levers at each funnel stage
Analyze data to identify product growth opportunities
Model expected profit from new projects and features before launch, and track actual versus forecast afterward
Run A/B experiments end-to-end, including hypothesis development, test design, statistical analysis, and rollout decisions
Analyze pricing tests involving rate, term, and eligibility settings and their effects on conversion, default rates, and portfolio health
Maintain analytics documentation, create data marts, and partner with the Data team on reliable product data
Deliver recommendations to product and business teams to inform product decisions

Requirements

What you’ll need

3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers
Strong statistical foundation: A/B testing, causal inference, time series
Advanced SQL — comfortable writing and optimizing complex queries across large datasets
Python proficiency — pandas, numpy, and the rest of the standard data stack
Experience with BI and visualization tools: Redash, Tableau, or similar
Structured thinking and a product mindset — you balance analytical rigor with business pragmatism
Bonus: background in fintech, lending, or marketplace products at scale
English: Professional Working Proficiency

Benefits

Comp & perks

Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.