What You'll bring

• Demonstrable experience in a data analyst or mixed-methods research role, with a track record of producing outputs that non-technical stakeholders actually use and act on.
  
• Hands-on Looker capability - building dashboards from scratch, not just maintaining existing ones alongside working Python or R skills and familiarity with field survey tools in low-connectivity environments.
  
• Some UX research exposure: you understand how qualitative data gets coded, what a usability study involves, and why the 70/30 split in this role is a feature, not a compromise.
  

• Building and maintaining dashboards in Looker that track customer behaviour across five African markets; running segmentation, cohort, and A/B analyses in Python or R; designing, deploying, and managing surveys end-to-end using Survey To Go including fieldwork coordination and data cleaning pipelines.
  
• Coding and tagging qualitative data using approved thematic frameworks, contributing to AI-assisted coding tools, and supporting hypothesis development before qualitative research begins so the quantitative and qualitative work genuinely talk to each other.
  
• Translating findings into exec-level outputs; charts, dashboards, summary slides and occasionally travelling to M-KOPA markets for in-field data collection; all while handling PII in line with M-KOPA policy and applicable national law.