• At M-KOPA we use the latest technologies and tools to build fantastic customer experiences with a socially and environmentally conscious mission that echoes throughout the organisation.

What does day-to-day look like and how do your skills compare?

• Analysis of Digital Financial Services Data  end-to-end analytics workflow that includes defining critical metrics, experimentation, analysis, and building meaningful dashboards.
• Squads – working closely with our Product Managers, Designers and the User Research teams that lead on qualitative customer research, A/B testing .
• Machine learning – collaborating closely with our Analytics and Machine Learning engineers who are responsible for data orchestration and managing our machine learning models.
• Insights – delivering insightful presentations that help shape commercial decisions in our FinTech group.
• Problem Solving – advising and researching on complex business problems that affect our repayment cycles.