• 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.

Candidate requirements :

  • 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.
Job Overview
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