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Data Analyst

mamamoney · 30+ days ago
Negotiable
Full-time
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Who we are:
Mama Money is a growth stage fintech startup working to help migrant workers in South Africa send money home. Since 2015 we have been providing reliable remittances, at a socially fair price, to those that need it most. 

Mama HQ is proudly located in the stunning city of Cape Town, South Africa. Our vibrant team of 131 (and growing!) represents 19 countries across Africa, Asia, the UK, and Europe. Our culture is built around the well-being of our team members and making a difference in our communities. “Just be lekker!” personifies our approach to work: we trust the wisdom of our talented and diverse team to do what is best for our customers and get the job done responsibly, without pedantic policies.  

We’ve been around since 2015 and have earned a few accolades along the way, made some new friends, and expanded our reach. We've had some great times and some tough times but we continue to focus on helping people rather than maximizing profit.

As our Data Analyst you will be working cross-functionally within the Banking Business Unit to develop data-driven models and frameworks to make product decisions, measure and drive growth and improve customer experience.

As our Banking Data Analyst you will:

  • Work cross-functionally within the Banking Business Unit to develop data-driven models and frameworks to make product decisions, measure and drive growth and improve customer experience.
  • Use SQL to write complex queries that join data across multiple systems (bonus points for proficiency in AWS Athena!).
  • Work closely with the Data Analytics and Data Engineers and Software Engineers to design and recommend changes in our platform and data architecture to enable new capabilities.
  • Perform ad hoc data/business analyses to improve customer experience, sales performance, customer churn, reduce call centre queries. 
  • Work with the banking team on ideas on how to improve the banking product and related processes.
  • Help with the design, delivery, and automation of reporting solutions (stored procedures, prepared statements, ETLs, Python scripts, Tableau dashboards).
  • Work with interesting humans and have a unique opportunity to solve interesting data-related challenges around growth and financial inclusion for migrant workers and the unbanked population.
  • Work collaboratively with outsourced external partners to drive and manage data-related outcomes.

In your first 90 days at Mama Money you will:

  • Develop a data-driven understanding of our business model, customer journeys, and value chain. This will include an understanding of Customers, Agents, the Banking product and how it relates to the Remittance Product, Transaction flows, and Systems.
  • Lead the data analysis streams for a business unit focused on creating growth and acquisition strategies in key markets.
  • Continuously identify high-value/low-effort pain points across the organisation that can be addressed using sensible data solutions and automation (metrics, dashboards, etc.).

About you:

  • Experience with SQL, other analytics tools (e.g. Python), and data visualisation tools (e.g. Tableau, Looker, Metabase, Mode).
  • Solid understanding of customer, ecommerce, and product analytics and experience in designing, analysing, and interpreting the results of experiments.
  • Excellent consulting and collaborative skills. You can translate business problems into actionable data questions, and can communicate the results of analyses with stakeholders to impact and influence decision making and action at all levels.
  • Able to independently determine data analysis priorities to balance ongoing projects with ad hoc requests from across the business.
  • Biassed toward action, simplifier, and great communicator  - constantly pushing toward alignment and delivery.
  • Able to identify the causes of changes in key metrics and run tests to validate.

It would be a bonus if you have experience with:

  • Leading  customer segmentation, acquisition, retention, and growth analyses projects.
  • Dimensional data modelling, schema design, and warehousing and building business unit specific data marts.
  • AWS Athena, RDS, S3, Glue, or Terraform.

Why Mama?
At Mama Money, we’re not just a company—we’re a movement. Everything we do is driven by one purpose: to make life better for our customers and the communities we serve. Our customers are our heartbeat, and they inspire every step we take.

We’re all about making it easy. No red tape, no hassle. Just simple, seamless experiences that put people first. Whether it’s through clear, down-to-earth communication or groundbreaking solutions that push the boundaries.

We believe in giving it a go—and then giving it another go if we have to! We're a team of doers, dreamers, and innovators who aren't afraid to break the mold. We take bold steps, experiment with fresh ideas, and never stop learning.

At Mama Money, we own it—and we mean it. We take responsibility for our actions, our results, and how we show up every day. No passing the buck here. We approach every challenge with grit, passion, and determination, making sure our work reflects the care and respect we have for our customers, our team, and our mission.

Here’s the best part: Mama Money is a place that truly cares. We care about the trust our customers place in us. We care about our amazing team who bring their best every day. And we care about making an impact in the world, doing the right thing no matter what.

When you join Mama Money, you’re not just joining a company—you’re joining a community. We’re a passionate, down-to-earth crew that works hard and celebrates wins (big and small) along the way. We take our work seriously, but we don’t forget to have fun while we do it.

So, if you’re ready to make a real difference, take on exciting challenges, and grow in a place where you’re valued and supported, then Mama Money is the place for you. Let’s make an impact—together.

Mama’s values: 
1. Make it easy for customers 
2. Give it a go 
3. Just own it

Last updated on Dec 7, 2024

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