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
We are seeking a skilled Data Analyst to join the Kuda for Business team. This role requires expertise in mining data from multiple sources to uncover actionable insights, enabling data-driven decisions that enhance our product offering, improve customer experience, and drive the growth of our business banking platform.
You will work closely with cross-functional teams, including product, marketing, and customer success, to ensure that data is at the heart of every decision we make.
Key Responsibilities
Data Analysis and Insights
- Analyze customer behaviors, merchant activities, and market trends to identify opportunities for growth and improvement.
- Provide actionable insights to guide product enhancements, acquisition strategies, and customer retention initiatives.
- Use data to evaluate the effectiveness of features and campaigns, delivering data-driven recommendations.
- Dashboard Development and Reporting
Dashboard Development and Reporting
- Develop and maintain automated dashboards and reports to monitor key metrics, ensuring stakeholders have access to timely and accurate data.
- Present insights to senior management and cross-functional teams to drive alignment and strategy.
Customer Segmentation and Behavioral Analysis
- Work closely with the marketing team to segment customers and merchants based on behavior, transaction data, and engagement metrics.
- Support targeted marketing campaigns by providing data-driven segmentation and performance analysis.
Experimentation and Optimization
- Support A/B testing efforts to evaluate new features, marketing campaigns, and customer engagement strategies.
- Champion experimentation best practices, ensuring clean and accurate data collection and interpretation.
Data Infrastructure and Integration
- Collaborate with data engineering teams to enhance the data infrastructure supporting Kuda for Business.
- Ensure seamless integration of internal and external data sources to maintain a comprehensive data ecosystem.
Privacy and Compliance
- Support the team in navigating data privacy regulations, ensuring compliance with applicable laws and best practices.
Qualifications and Experience
- Bachelors degree in Statistics, Data Science, Computer Science, Economics, or a related field.
- 3 years of experience as a Data Analyst, preferably in fintech, e-commerce, or a growth-focused role.
- Proficiency in SQL, with experience in data modeling and querying large datasets.
- Hands-on experience with business intelligence tools (e.g., Looker, Tableau, Power BI.
- Strong knowledge of metrics such as LTV, CAC, CR%, and churn, with the ability to apply them to a business context.
- Familiarity with data systems relevant to business growth, such as CRMs, attribution platforms, and analytics stacks.
Nice to Have
- Experience in African markets and understanding of the SME ecosystem.
- Knowledge of advanced data analysis techniques, such as predictive modeling and machine learning.
- Previous experience with Kudas or similar platforms for business banking.
Key Competencies
- Analytical Mindset: Ability to translate complex data into clear and actionable insights.
- Technical Expertise: Proficient in SQL and business intelligence tools, with a strong foundation in data modeling.
- Communication Skills: Clear and concise in presenting data and insights to technical and non-technical audiences.
- Collaboration: Works effectively across teams, fostering a data-driven culture.
- Attention to Detail: Ensures accuracy and consistency in data analysis and reporting.
At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:
💜A great and upbeat work environment populated by a multinational team
👴Pension
📈Career development & growth
😁Competitive annual leave plus bank holidays
🎁Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)
💯Group life insurance
💖Medical insurance
🎁Well-fare package (Wedding, Compassionate and etc)
✅Perkbox
🏃♀️Goalr - employee wellness app
🥇Award winning L&D training
💒 We are advocates of work-life balance, working in a hybrid in office schedule
Kuda are proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.
We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.
