Collection Data Analyst

About PalmPay
PalmPay is a leading neobank and fintech platform scaling financial inclusion across emerging markets. With over
40 million users
, we are building a digital financial ecosystem that empowers individuals and businesses through accessible, easy-to-use, and rewarding financial services.

Operating in
Nigeria, Ghana, Tanzania, Bangladesh, and Pakistan
, PalmPay has been recognised by CNBC as one of the
Top 300 Global Fintech Companies
and ranked
#2 overall
and
#1 in financial services
on the Financial Times'
Africa's Fastest Growing Companies 2025
list.

Position Overview
We are looking for a highly analytical
Collection Data Analyst
to support our loan collection and recovery teams with data-driven insights. This role will be responsible for SQL-based data extraction, reporting automation, strategy analysis, KPI tracking, and performance optimization. The ideal candidate must have
strong Excel skills
, SQL knowledge, and experience building structured reporting systems.

Key Responsibilities

• SQL Data Extraction & Modeling
• Write complex SQL queries to extract, clean, and transform collection-related datasets
• Build analytical data models for portfolio performance, delinquency behavior, and recovery trends
• Ensure accuracy, consistency, and reliability of collection data sources
• Reporting System Development
• Build and maintain weekly, monthly, and quarterly recovery reports for management
• Automate reporting dashboards and ensure structured, timely data delivery
• Support regulatory and internal reporting requirements
• KPI & Strategy Effectiveness Analysis
• Define, track, and evaluate core KPIs such as repayment rate, roll-rate movement, bounce rates, and collector performance
• Assess the effectiveness of collection strategies across buckets and channels (call center, field collection, digital reminders)
• Recovery Curve & Efficiency Analysis
• Build and analyze recovery curves, first-payment default patterns, and loss forecasts
• Evaluate collector and team efficiency, providing actionable recommendations to improve performance
• Data Visualization & BI Tools
• Build dashboards and visual reports using Excel (advanced), Power BI, or Google Data Studio
• Present insights and trends clearly to leadership and operations teams
• Process Understanding & Optimization
• Gain deep understanding of collection workflows, SOPs, and operational pain points
• Use data-driven insights to recommend improvements to strategies and processes
• Cross-Department Collaboration
• Collaborate with risk, collections, call center, and product teams to understand issues and develop solutions
• Translate data insights into clear business actions and operational guidance

Requirements

• Bachelor's degree in Statistics, Economics, Finance, Mathematics, Computer Science, or related field
• 2–4 years of experience as a Data Analyst, Business Analyst, Credit Analyst, or Collection Analyst
• Strong proficiency in Excel (must) including Pivot Tables, VLOOKUP/XLOOKUP, Power Query, and advanced formulas
• Hands-on experience with SQL for data extraction and analysis
• Experience with Power BI or similar visualization tools
• Strong understanding of collection operations, loan lifecycle, and risk metrics is preferred
• Excellent communication and problem-solving skills
• Ability to work with cross-functional teams in a fast-paced environment

Compensation & Benefits

• Competitive salary
• Festival bonuses
• Mobile & internet allowance
• Career growth opportunities in a fast-scaling international fintech

Powered by JazzHR

fHQZd4wvCo