Advanced Data Analytics Senior Supervisor

Key ResponsibilitiesDesign, develop, and maintain performance dashboards and KPI frameworks to monitor retail banking performance.Lead portfolio analytics and customer segmentation strategies to enable targeted marketing and personalized customer experiences.Build and deploy predictive models (e.g., cross-sell/up-sell propensity, churn prediction, customer lifetime value).Plan and execute A/B testing, multivariate testing, and controlled experiments to evaluate campaign effectiveness and product performance.Collaborate with IT and Data Engineering teams to ensure data quality, accessibility, and governance standards.Define analytical data requirements and contribute to data warehouse and data lake architecture.Develop and implement scalable analytics solutions using modern tools, frameworks, and best practices.Identify opportunities to enhance analytics capabilities through advanced methodologies, tools, and emerging technologies.Ensure compliance with data privacy regulations, information security standards, and regulatory requirements.Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.Minimum 4+ years of experience in Data Science / Advanced Analytics, preferably within a financial institution.Strong expertise in statistical analysis and predictive modeling techniques.Advanced programming skills in Python (machine learning model development).Expert-level proficiency in SQL and database querying.Hands-on experience with Power BI for dashboard design and data visualization.Solid understanding of machine learning algorithms and their practical applications.Experience with A/B testing frameworks and experimentation platforms.Familiarity with SAS Enterprise Guide is a plus.Experience in retail banking analytics or customer analytics.Knowledge of big data environments (e.g., Spark, Hadoop).Exposure to cloud platforms (Azure, AWS, or GCP).