
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.
🔥 9 minutes ago
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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.
• Partner with product managers, business development, and data engineering teams to uncover problems and make product metrics visible. • Translate complex product and business questions into actionable insights. • Build, maintain, and scale self-service dashboards and custom visualisation tools. • Own end-to-end analytics for growth products, including data requirements, opportunity sizing, experiment design, and post-launch impact reviews. • Build trusted relationships across teams and connect technology, business, and product functions. • Apply mathematical and statistical modelling techniques, including A/B tests, multivariate testing, clustering, and supervised learning, to solve business problems.
• 3 to 4 years of professional experience, excluding academic projects and internships, in quantitative analysis within high-scale tech companies, tier-1 consulting firms, or investment banks with strong programming demands • Excellent SQL skills • Experience designing, running, and analysing digital product experiments, including A/B and multivariate tests • Hands-on experience with Tableau or Looker • Experience applying statistical modelling and advanced analytics to deliver product-shaping insights • Strong statistical programming skills in Python • Familiarity with Pandas, SciPy, and Jupyter notebooks • Clear, professional spoken and written English
• Learning and development-focused environment • Knowledge sharing, training, and regular internal technical talks • Attractive salary • Pension • Health insurance • Annual bonus • Other benefits • Inclusive environment and equal opportunity employment
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