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Senior Product Analyst – Growth & Retention job at M-KOPA | Apply Now
Are you looking for Marketing jobs in Uganda 2025 today? then you might be interested in Senior Product Analyst – Growth & Retention job at M-KOPA
About the Organisation
M-KOPA, established in 2010, is a London-based fintech company operating in Kenya, Uganda, Nigeria, Ghana, and South Africa. Its mission is to provide affordable access to essential products and services through innovative financing models, combining digital micropayments with GSM connectivity. M-KOPA has earned recognition for its impact, including being listed in the Financial Times' "Africa's Fastest Growing Companies" rankings in 2022, 2023, and 2024, and being named in the TIME100 Most Influential Companies list in 2023 and 2024.
The company fosters a dynamic work culture that emphasizes innovation and employee growth, offering opportunities across various departments. As of 2024, M-KOPA has extended over $1.5 billion in credit to more than 5 million customers and employs over 3,000 staff members, with 30,000 sales agents across its markets. Its business model focuses on accessible financing for smartphones and digital services, utilizing daily repayment plans that align with customers' income patterns. M-KOPA's core values include customer-centricity, innovation, and financial inclusion.
The company actively engages in corporate social responsibility initiatives aimed at empowering underserved communities. For more information, visit their official website at www.m-kopa.com.
Kampala, Uganda
Full Time
Job Title
Senior Product Analyst – Growth & Retention job at M-KOPA
M-KOPA
Job Description
Job Title: Senior Product Analyst – Growth & Retention
Organisation: M-KOPA
Duty Station: Kampala, Uganda
Job Summary: We’re actively recruiting a Senior Product 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.
Duties, Roles and Responsibilities
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
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Qualifications, Education and Competencies
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
How to Apply
If you are ready to make a difference and drive financial excellence in a dynamic and innovative environment, we want to hear from you!
