Senior Product Analyst — Fintech
inDrive Open Hybrid Limassol Jakarta Full-time Senior Data Analysis & BI
At a glance
Senior Data Analysis & BI role at inDrive. Limassol · full-time.
Pay not stated Data Analysis & BI salary
RoleData Analysis & BI
SenioritySenior
LocationLimassol
WorkplaceHybrid
EmploymentFull-time
PostedJun 1, 2026
Also hiring inJakarta
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Set and track KPIs for credit-funnel features, then find where users leave and what could improve conversion
- Use customer and product data to uncover growth opportunities and estimate new initiatives’ profit before launch
- Run A/B tests from hypothesis and design through statistical review, then recommend whether to roll out
- Test how pricing and eligibility choices affect conversion, defaults and portfolio health
- Build reliable product data resources, document them and turn analysis into recommendations for product and business teams
What you bring
- At least three years in product analytics or data science, with examples of analysis shaping product choices
- Strong statistical skills, including experiment testing, causal analysis and time-series methods
- Advanced SQL and Python skills, including pandas and numpy, plus experience with Redash, Tableau or similar tools
- Professional working English
Who this fits
This senior role suits an analyst who combines rigorous data work with practical product judgment and can influence decisions beyond reporting. It is based in Limassol, Cyprus, with a hybrid arrangement.
From the employer
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.
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
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