Senior Data Analyst

Summary

Join Moniepoint, Africa's leading financial ecosystem, as a Senior Data Analyst to drive the growth of our payment products. You will develop strategies to enhance user acquisition, retention, and engagement, collaborating with various teams to ensure payment solutions meet market demands. This role blends analytical skills, strategic thinking, and collaboration. You will ensure product growth as the company scales. The position offers a competitive salary, pension, health insurance, and annual bonuses. Moniepoint prioritizes employee well-being and offers a learning and development-focused environment.

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

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

Preferred Qualifications

• Product management
• Analytics
• Marketing
• Data Science
• Design
• Customer Success

Benefits

• Pension
• Health insurance
• Annual bonus