Manager Advanced Data Analytics

• Collect, clean, organize, and analyze large banking datasets from various internal and external sources to identify trends, patterns, and opportunities for increasing revenue and improving operational efficiency.
• Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Power BI, Tableau) to communicate key performance indicators (KPIs) and actionable insights to stakeholders.
• Proactively identify areas of potential revenue loss or improvement and provide data-driven recommendations to management and business units (e.g., market penetration, sales coverage, product preferences).
• Liaise with cross-functional teams and the Senior Management to gather and document business requirements, ensuring the developed BI solutions align with business objectives.
• Ensure data accuracy and integrity by implementing data quality checks and validation processes, and support data governance initiatives and standards.
• Flag anomalies that could impact insights on churn, deposits, or digital behavior and maintaining reliable foundations for analysis.
• Identify and recommend opportunities to improve existing reporting and data analysis processes and strategies with technology solutions and automation.
• Suggest ways to automate routine monitoring, prepare executive summaries, wireframe simple dashboards with key visuals/alerts, and communicate insights clearly to non-technical leaders for quick decision-making.
• Maintain detailed documentation for processes, reports, and data models, and provide support and training to end-users on BI platforms.
• Analyze external models, data, and regional/global trends, including competitive analysis, to validate and refine functional and business strategies, goals, and challenges.
• Evaluate market opportunities and prepare reports to support shareholder value creation.
• Collaborate with cross-functional teams to design targeted solutions, develop detailed implementation plans, and establish robust governance mechanisms.
• Define comprehensive project requirements, including milestones, phases, and tasks.
• Monitor and track project progress against established Key Performance Indicators (KPIs) and targets, proactively resolving issues and preparing progress reports with actionable recommendations.

Minimum Qualification:

• A bachelor’s degree, preferably Master's in Computer Science, Statistics, Information Management, or a related quantitative field.

Minimum Experience:

• 3+ years of experience in business intelligence, data analysis, or a similar analytical position, preferably within the banking or financial services sector.

Technical Skills:

• Proficiency in SQL for data extraction and manipulation.
• Hands-on experience with BI and data visualization tools (e.g., Microsoft Power BI, Tableau).
• Strong knowledge of Microsoft Excel (including pivot tables, advanced functions) and other MS Office products.
• Familiarity with data warehousing concepts, ETL (Extract, Transform, Load) processes, and data modeling (e.g., star schema).
• Knowledge of programming languages like Python or R for advanced analytics is a plus.

Soft Skills:

• Strong analytical and critical thinking abilities with keen attention to detail.
• Excellent written and verbal communication skills, with the ability to present complex findings to a non-technical audience.
• Problem-solving skills and intellectual curiosity to explore data for insights.
• Ability to work independently and collaboratively in a fast-paced environment and manage multiple priorities.
• Strong business acumen and understanding of the banking industry's drivers and trends.