product analyst for credit products

Skyro is a fintech company serving millions of customers in the Philippines through its lending business. It aims to develop a financial ecosystem that makes financial services more accessible, efficient, and secure.

• Analyze the end-to-end credit line and card customer journey, identifying behavior patterns, product issues, and growth opportunities across segments and lifecycle stages
• Define and own KPI definitions for credit line and card products to ensure consistent measurement across teams
• Translate analytical findings into product recommendations, estimate their expected impact, support roadmap prioritization, and help Product teams improve activation, utilization, repayment behavior, retention, and risk-adjusted profitability
• Design and evaluate A/B tests and other impact measurement approaches, defining hypotheses, success and guardrail metrics, sample-size requirements, and decision criteria
• Monitor post-launch performance and verify that product changes deliver the expected impact
• Investigate anomalies and performance declines with Product, Risk, Fraud, Collections, Operations, Finance, Marketing, and IT teams
• Identify root causes and distinguish between product, customer, risk, technical, operational, and data-quality factors
• Maintain the analytical foundation for product decision-making, including KPI definitions, dashboards, tracking quality, post-release data validation, product-related campaign analysis, and automation of recurring analytical workflows

• 5+ Years of experience in Product Analytics or Data Analytics, preferably in fintech, lending, credit cards, banking, e-commerce, or another complex digital product
• Strong product thinking and experience analyzing funnels, customer journeys, cohorts, retention, unit economics, and product performance across customer segments
• Advanced SQL skills and experience independently working with complex datasets, validating data, and producing reliable analytical conclusions
• Experience designing and analyzing experiments, including hypothesis formulation, success metrics, guardrails, confidence intervals, statistical power, and interpretation of results
• Ability to translate analysis into clear product recommendations, impact estimates, and prioritization proposals, and communicate findings to technical and business stakeholders
• English B1 or higher
• Будет плюсом: understanding of credit product and portfolio metrics, including approval rate, activation, utilization, FPD, delinquency buckets, roll rates, vintage analysis, credit limits, collections performance, and cost of risk; experience building dashboards in Tableau, Power BI, Looker, Qlik, Metabase, Superset, or similar BI tools; experience with Python or R, event tracking systems, dbt, data marts, ETL/ELT workflows, or dimensional data modeling; experience with causal inference, campaign analytics, attribution, or AI-assisted analytics workflows

• The workday should start no later than 2 PM (GMT+8)/7 AM (CET) to ensure effective collaboration within the international team