Fintech BI Analyst: Lending Insights & Dashboards

PalmPay Financing Corp.; Taguig; On-site; PHP 420,000 - 660,000; Full time

Benefits offered by this job

Performance Bonus

Incentives

Company Equipment

Job summary

PalmPay Financing Corp. in Taguig is seeking a BI Analyst to support data-driven decisions across consumer finance and installment lending. You will analyze lending performance, customer behavior, risk trends, collections efficiency, fraud detection, and sales optimization.

The ideal candidate has 2–5 years fintech analytics experience, strong SQL, and proficiency in Power BI or Tableau; knowledge of Python or R is a plus. Collaboration with Risk, Credit, Sales, and Ops is essential.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, CS, Business Analytics, Finance, or related field.
• 2–5 years of experience in BI, Data Analytics, Risk Analytics, or Collections Analytics within fintech, digital lending, or consumer finance.
• Strong SQL skills are mandatory.

Responsibilities

• Analyze the end-to-end lending funnel including customer applications, credit approvals, repayment behavior, delinquency trends and monitor key lending KPIs (Approval Rate, Conversion Rate, Disbursement Rate, M1/M2+ Delinquency, Roll Rate, Vintage Analysis, DPD, Recovery Rate).
• Develop and maintain automated dashboards and reports using BI tools such as Power BI or Tableau.
• Support Risk, Collections, and Operations with portfolio analysis, segmentation, and predictive insights.

Skills

SQL

Power BI

Tableau

Google Data Studio

Python/R

Education

Bachelor's degree in Statistics/ Mathematics/ Economics/ Computer Science/ Business Analytics/ Finance

Tools

Excel

ETL tools

Data Warehousing

Python

R

Job description

PalmPay Financing Corp. in Taguig is seeking a BI Analyst to support data-driven decisions across consumer finance and installment lending. You will analyze lending performance, customer behavior, risk trends, collections efficiency, fraud detection, and sales optimization.

The ideal candidate has 2–5 years fintech analytics experience, strong SQL, and proficiency in Power BI or Tableau; knowledge of Python or R is a plus. Collaboration with Risk, Credit, Sales, and Ops is essential.