Manager Advanced Data Analytics

• Develop and implement predictive and machine learning models for customer, product, transaction and operational use cases.
• Identify and implement AI/ML solutions for operational efficiency, anomaly detection, fraud indicators, early-warning and process optimization.
• Take analytical models from concept → development → validation → implementation → monitoring.
• Perform advanced statistical analysis, segmentation, forecasting, classification, regression and customer behaviour analytics.
• Develop management and executive dashboards using Power BI, Tableau or equivalent BI tools.
• Translate complex data into actionable insights and business recommendations for senior management.
• Partner with Data Engineering / IT teams to operationalize models and analytical solutions.
• Identify new analytics opportunities across Retail, Operations, Product, Risk and other business functions.
• Ensure implemented models are monitored for performance, accuracy and business impact.
• Present analytical findings and recommendations clearly to business and senior stakeholders.
  

Required Experience & Qualifications

• Bachelor's/Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Business Analytics or related field.
• 5+ years of relevant experience in Advanced Analytics, Data Science, Predictive Modelling, Machine Learning or BI.
• Proven experience in implementing predictive / ML models in real business environments.
• Banking / Financial Services experience preferred.

Technical Skills

• Strong hands-on experience in Python and SQL.
• Strong understanding of Predictive Modelling, Machine Learning and Statistics.
• Experience with Power BI / Tableau and dashboard development.
• Strong understanding of data preparation, feature engineering and data modelling.
• Understanding of Data Warehouse / Data Lake, ETL/ELT and model deployment concepts.
• Exposure to AI / GenAI, MLOps or cloud analytics platforms will be an advantage.

Core Competencies

• Strong analytical and problem-solving ability.
• Business-oriented approach to analytics.
• Ability to convert business problems into analytical solutions.
• Strong stakeholder management and communication skills.
• Ability to work across Business, Data and Technology teams.
• Strong ownership with a focus on implementation and measurable business impact.

Key Success Measures

• Predictive / AI models successfully implemented and adopted.
• Measurable improvement in business and operational efficiency.
• Quality and adoption of analytical dashboards and insights.

• Successful conversion of analytics into business actions and outcomes.