Senior BI / Data Analyst

About the Role

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.

Requirements

• 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.