Senior Product Analyst (Fintech)

TL;DR

Senior Product Analyst (Fintech): Analyzing end-to-end credit line and card customer journeys to identify growth opportunities and product issues with an accent on KPI definition and A/B testing. Focus on translating analytical findings into actionable product recommendations and improving risk-adjusted profitability.

Location: Workday must start no later than 2 PM (GMT+8) / 7 AM (CET) to ensure collaboration with the international team.

Company

A rapidly expanding fintech company serving millions of customers in the Philippines through its lending business.

What you will do

• Analyze end-to-end customer journeys for credit lines and cards, identifying behavior patterns, product issues, and growth opportunities.
• Define and own KPI definitions for credit products to ensure consistent measurement across the organization.
• Translate findings into actionable product recommendations and impact estimates to support roadmap prioritization.
• Design and evaluate A/B tests, including hypothesis formulation, success metrics, and post-launch performance monitoring.
• Investigate performance anomalies and root causes in collaboration with Risk, Fraud, Finance, and IT teams.
• Maintain the analytical foundation, including dashboards, tracking quality, and automation of recurring workflows.

Requirements

• 5+ years of experience in Product or Data Analytics, preferably in fintech, banking, or e-commerce.
• Strong product thinking with experience analyzing funnels, cohorts, retention, and unit economics.
• Advanced SQL skills for working with complex datasets and producing reliable conclusions.
• Experience designing experiments, including statistical power and confidence interval interpretation.
• Ability to communicate findings and prioritization proposals effectively to technical and business stakeholders.

Nice to have

• Knowledge of credit portfolio metrics (approval rate, delinquency buckets, roll rates, cost of risk).
• Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or Superset.
• Proficiency in Python or R, dbt, ETL/ELT workflows, or dimensional data modeling.
• Experience with causal inference, attribution, or AI-assisted analytics workflows.

Culture & Benefits

• Collaboration within a diverse international team.
• Rapidly growing environment within the fintech sector.
• Efficient hiring process with feedback typically provided within 2–3 business days.