Mukuru helps you move money around Africa. Whether you are sending cash for instant collection or topping up a bank account or mobile wallet it has never been easier. We use the latest mobile and web-based technologies to give you the best experience possible. But that’s just half the story. To really understand us, you need to know the "why” behind all ...
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We’re looking for a Customer Data BI Analyst — a storyteller who speaks the language of data and translates it into meaningful business insight.
In this role, you’ll partner with teams across Customer Engagement, Marketing, Product, and Operations to uncover trends, optimize customer journeys, and identify opportunities for growth. You’ll blend analytical thinking with curiosity, using data to shape how Mukuru understands and serves its customers.
This is a fantastic opportunity for someone who loves solving puzzles, thrives on collaboration, and wants their work to have a tangible impact on millions of lives across Africa.
What You’ll Do
Turn Data into Insight
Analyse customer behaviour across channels and products to uncover actionable insights that drive engagement, retention, and growth.
Translate complex data into simple, compelling stories for stakeholders.
Identify patterns, trends, and opportunities to improve the customer experience.
Partner Across Teams
Collaborate with Marketing, Product, and Customer Engagement teams to design data-driven strategies and campaigns.
Act as the bridge between technical data teams and business users — ensuring alignment, clarity, and shared understanding.
Support strategic decision-making with accurate, timely, and relevant analysis.
Build & Automate Reporting
Design, build, and maintain dashboards and reports in BI tools (e.g., Power BI, Tableau, or Qlik) that track customer performance metrics.
Develop automated solutions for recurring insights and data visualizations.
Ensure data integrity, accuracy, and consistency across all reports.
Lead with Data Quality & Governance
Profile, validate, and clean data to ensure it meets high-quality standards.
Partner with data engineers to improve data pipelines and architecture.
Identify and resolve data anomalies, ensuring reliable insights.
Innovate & Grow
Stay current with emerging analytics tools, techniques, and trends.
Champion a culture of experimentation — applying methods such as A/B testing, segmentation, and predictive modelling to improve outcomes.
What You’ll Bring
Essential:
Tertiary qualification in a quantitative field (e.g., Data Science, Statistics, Economics, Engineering, Computer Science).
3+ years of experience as a Data Analyst, BI Analyst, or similar role.
Advanced proficiency in SQL and Excel.
Experience with BI tools such as Power BI, Tableau, or Qlik.
Strong communication skills — able to translate data into business insights.
Experience cleaning, manipulating, and combining large datasets.
Nice to Have:
Experience in FinTech, Financial Services, or high-growth digital businesses.
Familiarity with Python or R for data analysis.
Understanding of customer analytics (segmentation, retention, churn, LTV).
Knowledge of A/B testing and data modelling.
You’ll Thrive Here If You Are:
Curious, analytical, and passionate about uncovering “the why” behind the data.
A clear communicator who can simplify complexity.
Detail-oriented, organized, and comfortable juggling multiple priorities.
A collaborator who enjoys working across teams and domains.
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