1. Collect and analyze customer data from various sources, including transaction data, customer service interactions, surveys, and digital channels.
2. Use statistical analysis, data mining, and predictive modeling techniques to generate insights about customer behavior, preferences, and trends.
3. Develop customer segmentation models to enable targeted marketing and personalized customer service.
4. Collaborate with product, marketing, and customer service teams to apply data insights to improve customer experience, increase customer retention, and drive revenue growth.
5. Prepare and present reports and dashboards to communicate data insights to stakeholders.
6. Stay up-to-date with the latest analytics tools and techniques, and recommend improvements to analytics processes.
7. Ensure all data collection and analysis activities comply with data privacy regulations and the bank’s data governance policies.
1. Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. A Master’s degree in a related field or a certification in data analytics is a plus.
2. Experience in data analysis or customer analytics, preferably in the banking or financial services sector.
3. Strong knowledge of statistical analysis, data mining, and predictive modeling techniques.
4. Proficiency in data analysis tools and software, such as SQL, R, Python, SAS, and Tableau.
5. Exceptional analytical and problem-solving skills, with the ability to turn complex data into actionable insights.
6. Excellent communication and presentation skills, with the ability to explain complex data insights in a clear and concise manner.
7. Attention to detail, with a commitment to data accuracy and integrity.
8. Knowledge of data privacy regulations and data governance best practices.