• Application Deadline:
• Position: Data Analyst



• Job Type Full Time , Hybrid



• Qualification BA/BSc/HND



• Experience 3 years



• Location Lagos




• Job Field Data, Business Analysis and AI 
  
  

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