Senior Product Analyst – Fintech

inDrive

. Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel .

Posted 11/3/2026full-timeKazakhstanSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product analytics and data science, with a strong focus on A/B testing, SQL, and Python for data analysis. Capable of translating complex data insights into actionable product decisions while optimizing conversion rates and assessing business value.

Highest-signal resume keywords

Product AnalyticsA/B TestingAdvanced SQLPython ProficiencyBusiness Value Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

A/B TestingCausal InferenceTime Series AnalysisAdvanced SQLPythonData AnalysisKPI DesignFunnel OptimizationStatistical AnalysisData Modeling

Soft Skills

Structured ThinkingProduct MindsetAnalytical RigorCommunication

Tools & Technologies

RedashTableauData MartsBI Tools

Industry Keywords

FintechLendingMarketplace Products

Tech Stack

Tools & technologies

NumpyPandasPythonSQLTableau

About the role

Key responsibilities & impact

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

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.