Data Analyst

Summary

Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.

We’re a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it’s only right that we ended up with the name ‘Kuda’ which means ‘love’ in Shona, a language spoken in the southern part of Africa.

We’re giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices.
We’ve raised over $90 million from some of the world's most respected institutional investors, and we’re rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.

Role overview

Kuda is looking for an experienced Data Analyst who can mine attribution, engagement and behavioural data to establish valuable insights and ensure we make data-driven decisions around acquisition efforts, as well as product and channel experiments. Our Data Analysts help solve complex problems and ensure we only focus on the highest ROI growth tactics. 

Responsibilities

• Support our cross-functional team with end-to-end analyses on key growth initiatives.
• Understand our business drivers and KPIs in order to provide actionable insights and data-driven recommendations.
• Use data (across ad partners, CRM platforms and internal data sources) to understand our customers better as well as identify opportunities to improve acquisition, engagement, retention, referral and revenue. 
• Produce automated tools and dashboards to facilitate company-wide awareness and understanding of key growth metrics and experiment results.
• Build and maintain growth-owned data models.
• Support integration and completeness between our growth analytics stack and the central data ecosystem. 

• Develop, own and champion how we leverage data from our growth analytics stack. 

• Work closely with the growth marketing team to evaluate and improve marketing campaigns, including optimising paid ad campaigns, defining metrics, and setting targets.
• Work with the life-cycle marketing team to support customer segmentation and ensure data underpins performance analysis.
• Support all A/B testing efforts and champion experimentation best practices across the growth team by consistently providing clean and accurate data.
• Support the team to navigate the evolving privacy changes.