Embedded Finance Analyst supporting fintech operations through data analysis and insights. Collaborating across teams to drive product growth and operational efficiency in Mandaluyong, Metro Manila, Philippines.
Responsibilities
Analyze client usage patterns, portfolio performance, and adoption metrics to identify opportunities for growth across embedded finance products.
Provide data-driven insights to support client segmentation, targeting, and prioritization for upsell, expansion, and product-led growth initiatives.
Support Business and Growth teams with dashboards and reports that highlight client health, financial performance, revenue impact, and behavior trends.
Collaborate with UXR to interpret existing product and user data, helping identify user problems, market gaps, and opportunity areas.
Monitor and analyze key product metrics, including conversion funnels, adoption, penetration, and engagement, to uncover insights that inform feature improvements and user experience enhancements.
Present clear, data-backed insights that guide product direction, highlight risks or opportunities, and influence strategic decision-making across the product lifecycle.
Monitor key operational metrics such as revenue, repayment behavior, aging transactions (e.g., 30+ /60+ /90+ DPD), borrower activity, and disbursement success rates.
Identify manual or error-prone workflows and support Product and Engineering teams in designing and validating automation for operational scale.
Requirements
3–5+ years of experience in data analytics with required experience in fintech, ideally in lending, embedded finance, payments, or financial operations.
Strong SQL skills and experience working with data platforms (e.g., Databricks)
Experience building dashboards using Power BI, Databricks, and HubSpot.
Knowledge of developing data models for reports and analysis.
Python skills is a plus.
Working knowledge of financial products and embedded finance workflows, including money movement, risk controls, and repayment processes etc.
Excellent problem-solving, investigative, and analytical thinking.
Ability to translate complex data into simple, actionable insights for non-technical teams.
Strong communication skills and high attention to detail.
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