Senior Data Analyst (Remote) at Moniepoint Incorporated

Moniepoint is a leading African fintech company providing digital financial solutions to businesses and individuals. Originally launched as TeamApt in 2015, the company has grown into a unicorn valued at over $1 billion, serving over 10 million customers across Nigeria. Moniepoint Incorporated is a global business payments and banking platform and recently became QED Investors’ first investment in Africa. We are the partner of choice for over 600,000 businesses of all sizes, powering the dreams of SMBs and providing them with equal access to the tools they need to grow and scale.

We are recruiting to fill the position below:

Job Title: Senior Data Analyst

Location: Lagos (Remote)
Employment Type: Full-time

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.

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.

Application Closing Date
27th August, 2028.

How to Apply
Interested and qualified candidates should:
Click here to apply online

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