Senior Product Analyst – Fintech

inDrive

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

Posted 11/3/2026full-timeLimassol • CyprusSenior💰 €70,700 per yearWebsite

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, statistical analysis, and SQL proficiency. Capable of influencing product decisions through data-driven insights and maintaining clean, reliable product data.

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 ModelingData DocumentationData Mart CreationConversion Rate OptimizationPricing Strategy DevelopmentUser Behavior Analysis

Soft Skills

Structured ThinkingBusiness Pragmatism

Tools & Technologies

RedashTableauPandasNumpy

Industry Keywords

FintechLendingMarketplace Products

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, causes, and conversion levers at each funnel stage
Analyze data to identify promising 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, from hypothesis and test design through statistical analysis to rollout decisions
Develop pricing strategy by testing and analyzing rate, term, and eligibility effects on conversion, default rates, and portfolio health
Maintain analytics documentation and create data marts
Partner with the Data team to ensure clean, reliable product data
Deliver recommendations to product and business teams to influence 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
Salary from 70 700 EUR gross
Final benefits may vary depending on the location.