Senior Data Analyst

Who We Are

Yoco is one of Africa's largest fintech companies, building an ecosystem of intuitive, dynamic payments and business tools. These connected tools are easy to tailor to diverse business needs, enabling brave businesses to do better and grow.

Founded in 2015, we now process over US$2 billion annually for over 400,000 businesses.

We are powered by over 330 people across our three talent hubs in the Netherlands and South Africa. We come from different backgrounds and have different viewpoints, so we can keep building cutting-edge financial tools for growing businesses.

We’re growing fast. With growth comes compelling challenges, which means that if you’re an ambitious problem-solver with big ideas you will be challenged, stimulated, and grow with us at Yoco. You have a passion for doing good. You’re bright and grounded, experimental and brave.

We believe growing together is a commitment and that it means being uncomfortable and overcoming problems, and when faced with such problems seeing opportunities where others see barriers. But we know it’s not for everyone.

We don’t stop pushing, we break things to rebuild, we challenge ourselves, and inspire each other. We’re constantly evolving - and we’re doing it fast.

Be Brave and Grow With Us.

About The Data Team

At Yoco, we invest in data teams and tools, embedding them in everything we do. We’re data-driven, addressing questions that matter. Our data determines what we’ll do next.

The Data Science and Analytics team uses data to understand and optimise complex processes. We employ a wide range of approaches and techniques, from experiments and forecasting to predictive models, to solve customer needs. We work closely with our business partners to define and measure metrics that drive business impact.

About The Role

As a Senior Data Analyst in the Data Science and Analytics team, you will:

• Lead, plan, and execute analytics projects across multiple business areas.
• Act as a company-wide data representative, contributing to analytics best practices and processes.
• Design and build data products to drive business insights.
• Perform deep analysis to identify trends and model customer behaviour.
• Design experiments and test hypotheses to define optimization approaches and recommendations.
• Work closely with stakeholders to understand their needs beyond their requests to uncover the “why.”
• Design and build dashboards to monitor key business metrics and performance KPIs.
• Promote data literacy across the company.
• Utilise DBT to transform data from multiple sources and apply business logic to build data marts for the business.

About You

• Significant experience in an analytical role.
• Highly proficient in SQL and at least one BI/Data Visualization tool (e.g., Looker, Tableau, PowerBI).
• Experience in Python or R for analytics, statistics, and machine learning is advantageous.
• Experience with data transformation tools such as DBT for building data marts.
• Strong ability to map business questions to data problems.
• Proven experience in stakeholder management and acting as a business partner across different areas.
• Excellent communication skills to present findings clearly to a variety of stakeholders.
• Strong understanding of A/B testing, user activity and retention analytics, funnels, and customer segmentation.
• Excellent commercial awareness and ability to prioritise work on high-impact business problems.

The people we’re looking for

We’re looking for brave people who want to grow. And as Yoco grows we hope they stay with us, long term.

Growing can be a daunting task and it’s not for everyone. We never stop pushing, we break things to rebuild, we challenge ourselves, and inspire each other to push further.

So, who are you? You’re a curious problem-solver with a passion for doing good. You’re bright and grounded, experimental and brave. You play open cards and get stuck in. You’re not afraid of change. You close the loop.

Find Out More About Who We Are Here.

We encourage applicants from diverse backgrounds to apply and ask that you please send your application in English and help us reduce unconscious bias by leaving out your picture, age, address, and other unnecessary information in your CV.