Manager Advanced Data Analytics

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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 in Computer Science, or a related quantitative field. Masters is preferred.

Minimum Experience:

4 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.