Data Analyst at Kuda Bank
About kuda
Kuda is a full-service digital bank that started as a small team’s effort to transform banking in Nigeria. They aim to provide accessible, affordable, and rewarding banking services for all Africans, free from excessive charges. Kuda has secured significant funding, including the largest seed round in Africa and a Series B round in 2021 led by renowned institutional investors. With offices in London, Lagos, and Cape Town, Kuda is growing rapidly and establishing itself as a leading challenger bank for Africans. Joining the Kuda Tribe offers benefits like learning opportunities, clear career paths, and enjoyable company social events.
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Summary
- Company: Kuda
- Job Title: Data Analyst
- Job Type: Full Time
- Qualification: BA/BSc/HND
- Location: Lagos, Nigeria
- Deadline: Not Specified
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Job Title: Data Analyst
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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.
Requirements
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.
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