Senior Data 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

• Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs. • Translate product and business questions into analysis and actionable insights. • Develop and maintain scalable and self-service visualization tools and dashboards. • Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses. • Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. • Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.

🎯 Requirements

• 3-4 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies/industries (tier 1 consulting firms, investment banking or tech companies with heavy use of in programming). • Excellent SQL skills - tested during the process • Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) • Knowledge of visualization tools like Tableau and Looker and others • Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights • Experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, Jupyter/iPython notebooks • Excellent spoken and written English.

🏖️ Benefits

• Culture - We put our people first and prioritize the well-being of every team member. 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.