Who we are:
Mama Money is a growth-stage fintech on a mission to improve the financial lives of migrants and underserved communities across Africa and beyond. What started in 2015 as a cross-border payments service has grown into a multi-product financial platform. We give people the tools to send, save, and manage money — on their own terms, at a socially fair price.
Mama HQ is in beautiful Cape Town, South Africa. We're 153 people strong (and counting), representing 19 countries across Africa, Asia, the UK, and Europe. From remittances to a growing range of financial products, everything we build is in service of people who deserve better. Our culture reflects that same commitment. We look after our team the way we want them to look after our customers. "Just be lekker!" means we trust our talented, diverse people to do what's right and make it happen — simply and with heart.
We've earned a few accolades, built lasting partnerships, and grown our reach in ways we're proud of. We've had good times and tough times, but our focus has never shifted. People over profit, always.
We’re looking for a Senior BI / Data Analyst to turn Mama Money’s data into answers the whole business can trust. You’ll sit where analysis meets BI engineering — digging into the numbers to understand how our customers behave and how the business is performing, and building the models and dashboards that let everyone else find those answers for themselves.
This is a role for someone who loves the analysis and the craft behind it in equal measure. You’re as happy investigating why a metric moved as you are shaping the semantic layer so the same number means the same thing everywhere it appears. If you like turning messy questions into clear, reliable answers — and building things once so they scale — you’ll feel right at home.
As our Senior Bi / Data Analyst you will:
- Partner with teams across Mama Money to answer their most important questions — from customer behaviour, churn, and retention to fraud patterns and commercial performance — and turn what you find into clear, actionable insight.
- Design and build scalable, dimensional data models and semantic layers that serve as the single source of truth for reporting and analytics.
- Build, optimise, and maintain Tableau dashboards that people actually use — designed for self-service, performance, and reuse rather than one-off requests.
- Define and maintain KPI and metric definitions so the same number means the same thing everywhere it appears.
- Build and maintain cohort, funnel, retention, and performance datasets that power consistent reporting across teams.
- Structure and track A/B test data so experimentation results are reliable and easy to analyse.
Translate ambiguous, complex business questions into well-structured data models and BI solutions stakeholders can rely on. - Partner closely with Data Engineering to strengthen data quality and make sure the pipelines feeding your work are robust and well-structured.
- Champion data governance and documentation, keeping metric and dimension definitions consistent across the business.
- Spot and drive improvements to how we model data and report on it, raising the bar for reporting efficiency across the team.
Qualifications and Experience:
- 5+ years in a BI, analytics, or data analyst role in fintech, SaaS, or another high-volume consumer environment.
- Strong, demonstrable SQL — you’re comfortable building and optimising data models and transformations, and this is where a lot of the role lives.
- Excellent BI and dashboarding skills (Tableau preferred; Power BI, Looker, or Metabase very welcome), with a track record of dashboards and semantic layers that scale.
- A solid grounding in data modelling principles — star schemas, facts and dimensions, and keeping metrics consistent at scale.
- Hands-on experience with dbt or a similar transformation framework
Experience getting data experiment-ready — A/B testing, metric tracking, and making results reliable to analyse. - Comfortable reaching for Python or R when a question goes beyond the dashboard.
- A track record of turning ambiguous business asks into structured, maintainable data products.
- Strong stakeholder skills across technical and non-technical teams, with the judgement to point people to a better-modelled answer when one already exists.
- The blend of analytical rigour and storytelling it takes to build data products people genuinely trust — and act on.
In your first 90 days:
- In your first 90 days, you'll get to know Mama Money's data stack, models, and stakeholders, then start taking ownership of existing dashboards and reporting to find quick wins and inconsistencies worth fixing.
- By the end of the quarter, you'll have shipped a meaningful improvement to our data models or semantic layer, complete with clear metric definitions, and led at least one cross-functional question — like churn, retention, or fraud patterns — from a messy ask through to a trusted, self-service answer.
Why Mama Money?
At Mama Money, we’re here to make it easy—for our customers, our communities, and for each other. Simplicity is at the heart of what we do, whether it's creating a seamless and stress-free customer journey or removing barriers that stand in the way of progress, our work is all about delivering impact, minimizing complexity, and ensuring every experience with Mama Money is easy.
We’re a team that isn’t afraid to give it a go. We value taking action, making bold steps, embracing innovation, solving problems, doing the hard things, and thinking smartly. Mistakes and failures don’t stop us—they teach us. Every challenge is a chance to grow, do better, and push boundaries.
And we just own it. Whether it’s delivering results, collaborating across teams, driving urgency, or taking accountability for our actions, we approach every task with integrity and purpose. We make company goals our own, showing up for each other, our customers, and our mission to create lasting change.
Mama’s Values
These aren’t just words—they’re how we show up every day:
Make it easy for customers
Give it a go
Just own it
Skills Required
- 5+ years' experience in a BI Engineer, Analytics Engineer, or Data Analyst role
- Strong SQL skills with experience in building and optimising data models
- Hands-on experience with dbt or similar transformation frameworks
- Strong BI experience (Tableau preferred)
- Solid understanding of data modelling principles
- Experience supporting or enabling experimentation frameworks
- Strong analytical ability with Python or R
- Proven ability to turn complex business needs into structured data solutions
- Strong stakeholder management skills
- Ability to balance engineering discipline and business storytelling
What We Do
Mama Money is a rapidly growing, innovative, tech company and the world’s first Social Business Money Transfer Operator. Mama provides an easy, safe and low-cost way for foreign nationals to send money home to support their families. Our mobile application is easy-to-use and allows our customers to send money to their loved ones through a vast payout network that's continuously expanding. Rather than looking at profit-maximisation, Mama aims to directly assist people who don’t earn a lot by lowering the cost of cross-border payments. Mama Money was built to help African and Asian expats who left their homes and communities in search of better opportunities. Social upliftment through financial inclusion is the core belief of Mama Money and this drives us to keep growing and innovating. We have plenty of new job vacancies available so be sure to follow our page for regular updates. Mama is always on the lookout for individuals who want to make a positive impact on this world through meaningful work. Come and join the family
