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