M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go �PayGo� solar energy for off-grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.
What You'll Do
- At M-KOPA, you'll own our growth measurement framework – defining key events, conversion funnels, customer cohorts, and success metrics across mobile app, CRM systems, and telesales channels.
Key responsibilities include:
- Building our Looker analytics layer: Collaborate with analytics engineers to create reusable LookML data models, set up governed metrics, automated data tables, user permissions, and use Git for version control
- Moving from spreadsheets to a single source of truth: Audit Excel files, recreate them as data models using dbt, and replace manual tracking with automated Looker dashboards
- Leading the transition to data-driven tools: Help teams migrate from manual spreadsheet tracking to automated dashboards, including migrating funnel data input into structured systems
- Building automated dashboards: Create dashboards for upgrade conversion rates, repeat purchase behaviour, customer lifetime value (LTV), and unit economics
- Designing agent performance and incentive analytics: Build dashboards tracking call volume, conversion rates, talk time efficiency, lead quality, and revenue per agent. Design data-driven incentive structures and real-time leaderboards
- Calculating and tracking customer lifetime value: Build models estimating profit per customer cohort and track early signals predicting long-term value
Your Analytics Environment
Tools & Technologies:
- Data transformation: dbt, SQL
- Visualization: Looker, LookML
- Product analytics: Amplitude, Mixpanel, Statsig
- CRM & engagement: Braze, CleverTap, Fresh Desk
- Analysis: Python or R
- Data pipeline: Fivetran, Stitch, Airbyte
- Version control: Git
Required Experience:
- Proven track record in product analytics at fintech, telco, e-commerce, or subscription company
- Strong SQL skills and experience with dbt for building reliable data models
- Hands-on experience with Looker (dashboards, LookML, data governance and permissions)
- Python or R for analysing experiments, building cohort models, and calculating customer lifetime value
- Experience combining data from multiple sources (Amplitude, Mixpanel, Statsig, Braze, CleverTap, call-center data)
- Understanding of experiment design and analysis
- Experience designing performance metrics and incentive structures
Method of Application
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