Cards Data Analyst
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Before you apply
LocationLagos, Lagos, Nigeria
Typefull-time
SeniorityMid
Experience2–4 yrs
DepartmentCards
Company size501–1,000 people
PostedJun 30, 2026 · 4mo ago
Verified live19h ago
May no longer be actively hiring
Posted by the company on Jun 30, 202677% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
Skills
Excel
SQL
Power BI
Tableau
Data Analysis & Reporting
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Analyze card portfolio data to identify trends, patterns, and performance insights
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Prepare regular reports on key metrics such as transaction volumes, spend, and card usage
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Support ad-hoc data requests from business teams
Dashboard Development & Maintenance
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Develop and maintain dashboards using tools such as Power BI or similar platforms
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Ensure data accuracy, consistency, and integrity across reporting outputs
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Automate recurring reports where possible
Performance Monitoring
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Track key performance indicators including card issuance, activation, utilization, and revenue
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Highlight variances, anomalies, and areas requiring attention
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Support ongoing monitoring of business performance
Customer & Transaction Analysis
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Analyze customer behavior and transaction patterns
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Provide insights to support business decisions and operational improvements
Data Management Support
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Work with internal teams to ensure proper data capture and quality
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Assist in structuring and organizing datasets for analysis
Requirements
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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