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.
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.
Impact
- 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 as one of the world's most influential and by the Financial Times as Africa's fastest‑growing for four consecutive years.
- Scale challenges: process data from millions of daily transactions across five markets, combining mobile‑app analytics, CRM systems, telesales data, and legacy spreadsheets into a single source of truth.
- Environmental impact: we are carbon‑negative, having displaced over two million tonnes of emissions.
What You’ll Do
- Own the growth measurement framework – defining key events, conversion funnels, customer cohorts, and success metrics across mobile app, CRM systems and telesales channels.
- Build the 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.
- Move 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.
- Lead the transition to data‑driven tools: help teams migrate from manual spreadsheet tracking to automated dashboards, including migrating funnel data input into structured systems.
- Build automated dashboards: create dashboards for upgrade conversion rates, repeat purchase behaviour, customer lifetime value (LTV) and unit economics.
- Design 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.
- Calculate and track customer lifetime value: build models estimating profit per customer cohort and track early signals predicting long‑term value.
Analytics Environment & Tools
- Data transformation: dbt, SQL
- Visualization: Looker, LookML
- Product analytics: Amplitude, Mixpanel, Statsig
- CRM & engagement: Braze, CleverTap, FreshDesk
- Analysis: Python or R
- Data pipeline: Fivetran, Stitch, Airbyte
- Version control: Git
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).
- 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.
Why You’ll Have Direct Impact
You’ll build systems from the ground up, transform how teams work by moving them from spreadsheets to modern data platforms, and see the tangible results of your work in improved customer experiences and business growth.
Location & Benefits
- Fully remote role within UTC‑1 to UTC time zones.
- Work with diverse teams across UK, Europe and Africa.
- Professional development programmes and coaching partnerships.
- Family‑friendly policies and flexible working arrangements.
- Well‑being support and career growth opportunities.
Our Mission
We create financial inclusion for the traditionally excluded through a fair, flexible, customer‑centric financing model.
We strive to drive greater inclusion of women, youth and low‑income communities.
Our Impact
- 2.5 million first‑time mobile internet users connected.
- 70 % of customers use M‑KOPA products for income generation, with 35+ livelihoods created for agents.
- Millions of tonnes of CO₂ avoided through clean‑energy products and e‑mobility.
- Circular‑economy products provided.
Awards & Recognition
- Recognised by the Financial Times as one of Africa’s fastest‑growing companies for four consecutive years.
- Recognised by TIME as one of the world’s most influential companies.
- More than 6 million customers served, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.
Equal Opportunity Employer
M-KOPA is an equal‑opportunity and affirmative‑action employer committed to assembling a diverse, broadly trained staff.
Women, minorities and people with disabilities are strongly encouraged to apply.
M-KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and to terminate their employment on appropriate notice.
We ensure our employees are of legal working age and comply with local laws for youth employment or student work, such as internships or apprenticeships.
M-KOPA does not collect or charge any money as a pre‑employment or post‑employment requirement.
We never ask for recruitment fees, processing fees, interview fees or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.
Applications for this position will be reviewed on a rolling basis.
Shortlisting and interviews will take place at any stage during the recruitment process.
We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.
If your application is successful, M-KOPA undertakes pre‑employment background checks as part of its recruitment process, including criminal records, identification verification, academic qualifications, employment dates and employer references.