Senior Growth Analyst – Product Analytics at M-KOPA

We're actively recruiting a Senior Growth Analyst as we continue to scale our growing Product - Growth team here at M-KOPA. You'll turn messy, multi-channel data into clear, trustworthy decisions that grow the business profitably.

The Impact

Your dashboards and models will directly unlock repeat purchase, upgrade conversion, retention and customer lifetime value. We've already helped over 7 million customers access over $2 billion in credit. It's your chance to be part of something that's literally transforming lives across an entire continent 🌍

The Opportunity

🎯 Mission-driven analytics: Your dashboards and models will directly influence strategies that bring digital and financial inclusion to Africa's Every Day Earners

🏆 Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years (2022-2025)

🚀 Scale challenges: Process data from millions of daily transactions across 5 markets, combining mobile app analytics, CRM systems, telesales data, and legacy spreadsheets into a single source of truth

🌱 Environmental impact: We're carbon-negative, having displaced over 2 million tonnes of emissions

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

Apply

https://jobs.ashbyhq.com/M-KOPA/b8a6c20e-7925-410b-82f7-6a58a99ec6ca?locationId=ed2d7763-f433-4318-abeb-919068213c32