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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