About the Role
The Cards Data Analyst intern will focus on analyzing card transaction data, developing insights, and supporting data-driven decision making for our cards business portfolio.
What You Will Do
- Analyze card transaction data, customer spending patterns, and performance metrics to identify trends, anomalies, and business opportunities
- Create regular reports and dashboards for stakeholders, including management reports on card portfolio performance, customer segmentation analysis, and risk indicators
- Develop compelling visualizations and presentations to communicate complex data insights to both technical and non-technical stakeholders
- Maintain data quality standards, perform data validation, and ensure accuracy of analytical outputs using SQL and other data tools
- Support the creation of KPIs and metrics for card products, assist in A/B testing analysis, and provide insights for product optimization
- Work closely with business, product, and engineering teams to understand business requirements, provide analytical support for decision-making, and contribute to cross-functional projects
What We Are Looking For
- Diploma holder / Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related analytical discipline
- Experience with data analysis tools and programming languages (Python, R, SQL) will be a plus
- Knowledge of financial services or payments industry is preferred but not required
- Strong analytical and quantitative skills with attention to detail and accuracy in data handling
- Excellent communication skills with ability to present complex data insights in a clear and actionable manner
- Strong problem-solving abilities with a curious mindset and ability to think critically about data
- Self-motivated with strong organizational skills and ability to manage multiple analytical projects simultaneously
- Proficiency in data visualization tools (Tableau, Power BI, or similar) and Excel is a plus
- Familiarity with statistical analysis and machine learning concepts is preferred
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