Customer Insights Data Analyst

ABOUT THE COMPANY

At M-KOPA, our aim is to increase access to life-improving technologies at a huge scale. We do this through an innovative credit model – pay-as-you-go asset financing – of which M-KOPA was an early global pioneer. With offices in Nairobi, Kampala, Lagos, and London, M-KOPA serves over 1 million low-income households in Sub-Saharan Africa. Since its commercial launch in 2012, M-KOPA has made its name in off-grid solar power, providing customers with solar panels and solar-powered lights, televisions, radios, fridges, and more – this is often our customers’ first access to electricity.
M-KOPA’s affordable credit model can also be applied to assets beyond off-grid solar power, and in 2019, we began providing credit for smartphones, which enables our customers to move from feature phones to smartphones and improve their connectivity, communication, and information access. Today, smartphone financing is a rapidly growing business line – with enormous opportunities for innovation and increasing our customer impact – and it is the focus of this Strategy Manager role.
M-KOPA currently employs over 1,000 full-time staff across its operating countries. We value progress, innovation, pragmatism, collaboration, and – most of all – our customers. We have been well recognized for our pioneering business model and scale.

JOB SUMMARY

What You'll bringDemonstrable 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.

RESPONSIBILITIES

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.

REQUIRED SKILLS

Database query languages (SQL, others), Reporting, Data analysis, Data collection, Customer support, CRM systems

REQUIRED EDUCATION

Diploma, Associate's degree