Global International Bank seeking a Senior Lead Business Analytics to serve as the Deputy Head of their Business Analytics team, shaping the future of their Wealth Management APAC business through cutting-edge analytics, governance, and innovation.
In this high-impact role, you will:
- Lead and mentor a team of data analytics professionals, fostering a culture of technical excellence and collaboration.
- Drive data-driven decision-making by delivering actionable insights from private banking data, ensuring senior management relies on accurate, timely, and visually compelling analytics.
Own the end-to-end analytics lifecycle, including:
- Exploratory data analysis (EDA) to uncover patterns, trends, and opportunities
- Diagnostic & predictive modelling to understand and forecast client behavior, sales steering and business outcomes, enabling proactive decision-making
- Deployment and operationalization of analytics solutions, from development to production, with rigorous quality and risk assurance
- BAU (Business As Usual) cycles, ensuring seamless data refreshes, governance, and automation of R, Python, and Tableau workflows
- Bridge the gap between data and strategy, translating complex analytics into clear, high-impact recommendations that influence key business decisions and championing Agile/Lean approaches to ensure projects are delivered reliability and efficiently
Primary Role Responsibilities
Leadership
- Function as the deputy head of the Business Analytics team, providing strategic direction and operational oversight.
- Serve as direct line manager for business analytics staff, ensuring their professional development, performance management, and career growth.
- Lead and oversee business initiatives, guide the team in delivering high-quality analytics solutions.
- Develop and maintain effective working relationships within the team and across stakeholders.
Analytics Insights
- Drive analytics activities at all stages of the analytics lifecycle, with an emphasis on private banking data to generate actionable insights.
- Engage stakeholders to understand business issues and opportunities, ensuring alignment with private banking objectives.
- Ensure proper data cleansing, transformation, and aggregation, with a focus on data quality and governance standards.
- Demonstrate expert project management skills in planning, estimation, tracking, monitoring, and change management.
- Translate analytics findings into actionable business proposals and develop effective communication using data visualization techniques, storytelling, and presentation best practices.
- Apply Agile/Lean methodologies to ensure efficient and adaptive project execution.
- Utilize Tableau Server as the primary visualization platform and R/Python (on Posit) as the core analytics platform to deliver solutions.
Analytics Operations and Governance
- Manage data refresh cycles to ensure timely and accurate updates for analytics and reporting.
- Oversee data governance assurance, ensuring compliance with internal standards and understanding implications on business outcomes
- Monitor and maintain R, Python, and Tableau job cycles to support seamless Tableau dashboard refreshes.
- Lead software deployment progression from development to QA to production, including:
- Critical risk and quality assurance checklists
- Automation of deployment processes to minimize errors and improve efficiency
- Collaboration with IT and business teams to ensure smooth transitions and minimal disruption
Qualifications
- 8+ years of direct experience in leading data analytics teams, preferably in a private banking environment.
- Proven track record of successful execution of data analytics initiatives, with a focus on private banking data and insights.
- Bachelor's or Master's degree in Data Science, Data Analytics, Applied Statistics, or a related field.
- Expert-level proficiency in R, Python, Tableau Server, and SQL, with hands-on experience in Tableau Desktop, Prep Builder, Posit (RStudio) Workbench & Connect.
- Strong project management skills, including experience in Agile/Lean methodologies, planning, estimation, tracking, and change management.
- Experience in managing software deployment cycles, including risk and quality assurance, automation, and compliance.
Skills
- Exceptional verbal and written communication skills, with the ability to translate complex analytics findings into clear business recommendations.
EA: 25C2690 | R1221146
