Senior Business Analyst

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Moniepoint Inc. (Formerly TeamApt Inc.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🏦 Banking

Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

📋 Description

• Partner closely with product managers, business development, and data engineering teams to help our growth team uncover problems and make product metrics highly visible. • Translate complex product and business questions into simple, actionable insights. • Build, maintain, and scale self-service dashboards and custom visualisation tools. • Own end-to-end analytics for our growth products—from gathering data requirements and estimating opportunity sizes to designing experiments and conducting post-launch impact reviews. • Cultivate trusted relationships across teams, acting as a collaborative link between technology, business, and product. • Apply advanced mathematical and statistical modelling techniques (including A/B tests, multivariate testing, clustering, and supervised learning) to solve practical business problems that drive high-impact results.

🎯 Requirements

• 3 to 4 years of professional experience (excluding academic projects and internships) in a quantitative analysis role within high-scale tech companies, tier-1 consulting firms, or investment banks with strong programming demands. • Excellent SQL skills (which we will test during our interview process). • Practical experience designing, running, and analysing experiments on digital products (such as A/B and multivariate tests). • Hands-on experience with popular visualisation tools like Tableau or Looker. • Experience applying statistical modelling and advanced analytics to deliver practical, product-shaping insights. • Strong skills in statistical programming (Python) and familiarity with tools like Pandas, SciPy, and Jupyter notebooks. • Clear, professional spoken and written English.

🏖️ Benefits

• Culture - We put our people first and prioritise every team member's well-being. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. • 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.