inDrive

Global ride-hailing platform with fare negotiation

Senior Product Analyst - Fintech

Data ScienceUpdated on Nov 13

Full-timeJakarta, IndonesiaNo salary listedHybrid

About the Job

Requirements

At least 3 years of experience in product analytics or data science, with a track record of influencing product decisions rather than only reporting numbers.
A strong statistical foundation in A/B testing, causal inference, and time series.
Advanced SQL skills, including writing and optimizing complex queries across large datasets.
Proficiency in Python, including pandas and numpy.
Experience with business intelligence and data visualization tools such as Redash or Tableau.
English proficiency at a professional working level.

Responsibilities

Define, calculate, and monitor key performance indicators for new product features and initiatives across the credit funnel.
Identify user drop-off points in the funnel, determine causes, and find levers to improve conversion at each stage.
Analyze data to identify promising product growth opportunities.
Model expected profit from new projects and features before launch, then track actual performance against forecasts.
Run A/B experiments end to end, including hypothesis development, test design, statistical analysis, and rollout decisions.
Develop pricing strategy by testing and analyzing how rate, term, and eligibility settings affect conversion, default rates, and portfolio health.
Maintain analytics documentation, create data marts, and partner with the Data team to ensure product data is clean and reliable.
Deliver clear recommendations to product and business teams so insights inform product decisions.

Desired Qualifications

Background in fintech, lending, or marketplace products at scale.

At inDrive, we're not just building a ride-hailing app — we're building a financial platform at global scale. Our lending product is one of the fastest-growing verticals in the company. We're looking for a Senior Product Analyst who thrives where data work directly drives product and revenue decisions.
This is a rare combination: the stability of a well-funded global company with the speed and ownership of an early-stage product. If you want your analysis to shape a product used by millions, we'd love to talk.

Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel
Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage
Surface growth opportunities — dig into data to find product directions worth betting on
Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after
Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions
Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health
Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data
Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built

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

About the Company

inDrive

Global ride-hailing platform with fare negotiation

inDrive operates a global mobility and urban services platform that connects passengers with independent drivers through a fare-negotiation system. Riders propose a trip price, and nearby drivers can accept, decline, or counteroffer, creating a peer-to-peer ride-hailing model. The service has expanded to intercity rides, delivery and cargo, groceries, advertising, and driver-focused fintech within its app. Unlike typical ride-hailing apps that use fixed fares, inDrive enables price negotiation and direct driver-rider interaction, and it pursues growth through a venture arm that funds ride-hailing-adjacent startups in emerging markets. This broader strategy aims to build a super-app for urban and gig-economy needs, with the goal of offering a wide range of mobility and urban services in 48 countries.

Company size: 10,001+
Company stage: Debt Financing
Total funding: $532M
Headquarters: Mountain View, CA
Founded: 2012

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