Moniepoint Inc, one of Africa’s fastest-growing financial technology companies, has announced new openings for highly skilled professionals in its technology and data analytics teams.
These roles are designed for experienced individuals passionate about data-driven decision-making, scalable systems, and business innovation.
The recruitment reflects Moniepoint’s continued investment in advanced analytics, machine learning, and robust data infrastructure to support Africa’s real economy.
1. Senior Data Analyst (Remote)
The Senior Data Analyst will play a strategic role in shaping Moniepoint’s payment and growth products by translating complex data into actionable business insights.
Key Responsibilities
- Analyze product performance, growth metrics, and user behavior
- Build dashboards and self-service analytics tools
- Design and evaluate A/B and multivariate experiments
- Partner with product, marketing, and engineering teams
Requirements
- 3–4 years’ experience in a data analytics role
- Strong SQL proficiency (mandatory)
- Experience with Python, statistical modeling, and experimentation
- Knowledge of Tableau, Looker, or similar visualization tools
2. Data Engineer (Remote)
This role focuses on building scalable and reliable data pipelines that support analytics and machine learning initiatives across the organization.
Key Responsibilities
- Develop and optimize large-scale data pipelines
- Improve platform performance, scalability, and cost efficiency
- Collaborate with cross-functional teams on data needs
- Ensure data accuracy and system reliability
Requirements
- 5+ years of data engineering experience
- Advanced SQL and Python skills
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of Git and infrastructure best practices
3. Senior Data Scientist (Remote)
The Senior Data Scientist will lead high-impact analytical projects, develop machine learning models, and support data-driven business strategies.
Key Responsibilities
- Design predictive and prescriptive ML models
- Perform advanced statistical and causal analysis
- Lead experimentation and A/B testing initiatives
- Communicate insights to business and technical teams
Requirements
- 5+ years of professional data science experience
- Strong SQL and Python/R skills
- Experience with ML libraries and large data systems
- Degree in a quantitative field (BSc/MSc/PhD)
