The role of Senior Product Analyst, focusing on Growth and Retention, is central to M-KOPA's mission of making high-quality energy affordable. M-KOPA has connected over 400,000 homes in Kenya, Tanzania, and Uganda to solar power and is rapidly expanding. This position is crucial for moving the organization from manual tracking to a sophisticated, single source of truth for all product data, driving data-driven decision-making across growth and retention strategies.
Key Responsibilities:
- 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 existing 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 behavior, 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
The successful candidate will be operating within a cutting-edge data stack:
Tools & Technologies:
| Category | Tools |
| :--- | :--- |
| 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 and Qualifications:
- Proven track record in product analytics at a 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).
- Proficiency in Python or R for analyzing experiments, building cohort models, and calculating customer lifetime value.
- Experience combining data from multiple sources (e.g., Amplitude, Mixpanel, Statsig, Braze, CleverTap, call-center data).
- Deep understanding of experiment design and analysis.
- Experience designing performance metrics and incentive structures.
- Possession of a BA/BSc/HND qualification.
.png){kind=logo}
