Senior Data Analyst

Moniepoint

Who we are 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. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role The Senior Data Analyst will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement. This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives. Typically, you ensure that the product not only attracts users but also grows efficiently as the company scales. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. Key Responsibilities * 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. Qualifications * 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 Additional skills * Product management * Analytics * Marketing * Data Science * Design * Customer Success What we can offer you * 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. What to expect in the hiring process * A preliminary phone call with one of our recruiters. * A panel interview with a member of the hiring team. * A behavioral and technical interview with a member of the Executive team Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Moniepoint

Who we are 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. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role The Senior Data Analyst will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement. This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives. Typically, you ensure that the product not only attracts users but also grows efficiently as the company scales. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. Key Responsibilities * 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. Qualifications * 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 Additional skills * Product management * Analytics * Marketing * Data Science * Design * Customer Success What we can offer you * 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. What to expect in the hiring process * A preliminary phone call with one of our recruiters. * A panel interview with a member of the hiring team. * A behavioral and technical interview with a member of the Executive team Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Moniepoint

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere. About the role:  We're looking for a Data Scientist to sit at the heart of how we fight fraud, building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats.  We are looking for a data-driven, intellectually curious Data Scientist who is energised by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem, partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems.  Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. What You’ll Do * Model Development: Prototype, evaluate, and help productionize machine learning models for fraud detection; own their ongoing monitoring and retraining cycles.   * Experimentation: Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction.   * Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions.   * System Maintenance: Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.   * Cross-Functional Collaboration: Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations. We would love to hear from you if… * A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar) * 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime * Hands-on experience building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus * Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering * Proficiency in Python and SQL; comfort working across the full model development lifecycle * An investigative instinct, you enjoy digging into data to find patterns others miss * The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action * Comfort working in fast-paced, cross-functional teams with high ownership expectations What we can offer you * Culture: We put our people first and prioritise 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, monthly bonuses, plus other benefits What to expect in the hiring process * A preliminary phone call with the recruiter * An interview with a business lead * Technical take-home task (SQL/Python test and case study) * A behavioural and technical interview with the Head of Data Science and a member of the executive team Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.