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Cards Data Analyst

Renmoney • Digital Banks & Neobanks • Consumer Loans & Pawnshops • SQL • Tableau • Power BI • 4 months ago

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Salary

≈ $8k – $22k per year (Estimated)

Location

In office (Lagos)

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jun 30, 2026. Renmoney scores C on the Alion truth index.

Overview

Company

Impact

Profile match

Renmoney

Renmoney is a Nigerian financial services company operating through a licensed microfinance bank that offers personal loans, small business loans, fixed deposits, savings products and bill payments through its mobile app and website. Founded in 2012, it lends to salaried workers and small business owners without collateral and reports millions of customers. The company is headquartered in Lagos, Nigeria.

renmoney.com • HQ: Lagos, Nigeria • Microfinance • Digital Banks & Neobanks • Consumer Loans & Pawnshops • Est. 2012

Tech stack of Renmoney

Data Analysis & Reporting

Analyze card portfolio data to identify trends, patterns, and performance insights
Prepare regular reports on key metrics such as transaction volumes, spend, and card usage
Support ad-hoc data requests from business teams

Dashboard Development & Maintenance

Develop and maintain dashboards using tools such as Power BI or similar platforms
Ensure data accuracy, consistency, and integrity across reporting outputs
Automate recurring reports where possible

Performance Monitoring

Track key performance indicators including card issuance, activation, utilization, and revenue
Highlight variances, anomalies, and areas requiring attention
Support ongoing monitoring of business performance

Customer & Transaction Analysis

Analyze customer behavior and transaction patterns
Provide insights to support business decisions and operational improvements

Data Management Support

Work with internal teams to ensure proper data capture and quality
Assist in structuring and organizing datasets for analysis

Requirements

Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field
2-4 years’ experience in a Data Analyst role (preferably within banking, fintech, or payments)
Strong proficiency in Excel and SQL
Experience with data visualization tools (e.g., Power BI, Tableau)
Ability to work with large datasets and perform data cleaning and validation

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