Data Analyst Senior / Bi

Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.
Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria's largest merchant acquirer, we power most of the country's point-of-sale (POS) transactions. processes over $250 billion in digital payment transaction value annually. Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
Build and maintain reporting and dashboards to monitor fraud trends, rule performance, and key operational metrics
Work closely with fraud operations, data scientists, engineers, and product managers to ensure analytical insights translate into action
Proven experience as a Data Analyst (Fraud), or a similar role (4+ years, can be made up for with accomplishments)
Advanced proficiency with SQL. you're comfortable writing complex queries to investigate and slice data across large datasets
Some exposure to Python or scripting for data manipulation and analysis
Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)
you can communicate findings clearly to fraud operations, product managers, engineers, and senior leadership — and you know how to influence decisions with data across all of them.
Comfort working in fast-paced, cross-functional teams where priorities shift quickly.
Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets, or any other alternative)
A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field
Data governance
Python or any other scripting language
Git or any other version control tool
Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
Compensation - You'll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
Technical take-home task (SQL test).
A behavioural interview with the Head of Data Analytics/Science and Fraud Team.