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OCBC Bank (Hong Kong) Limited seeks an experienced team lead to drive the bank’s data-driven transformation, leveraging advanced analytics, campaign management, and data visualization to translate insights into actionable strategies and foster a data-centric culture across the organization.
You will lead advanced analytics initiatives, partner with business units, build dashboards for insights, redesign campaign management processes, and enable self-service analytics for timely decision-making
We are seeking an experienced team lead to implement the bank’s data-driven transformation agenda. The ideal candidate will possess deep expertise in advanced analytics, campaign management, and data visualization, with a proven ability to translate complex insights into actionable strategies. This role is pivotal in fostering a data-centric culture across the organization, enabling informed decision-making and driving measurable business outcomes.
What You Will Be Doing:
Lead the development and execution of advanced analytics initiatives, including AI, process automation, customer and wealth analytics
Partner with cross-functional business units to identify analytical requirements and deliver tailored, data-driven solutions to optimize business performance.
Communicate complex analytical insights effectively by presenting findings and actionable recommendations to senior leadership and key stakeholders, ensuring alignment with organizational objectives.
Redesign and oversee the end-to-end campaign management process, driving efficiency and effectiveness through data-driven strategies.
Establish robust campaign performance measurement framework and drive changes to ensure continuous improvement and ROI optimization.
Lead the design and implementation of interactive, user-centric dashboards and visualization tools to empower stakeholders across segments, products, and channels with timely insights.
Enable self-service analytics capabilities, ensuring business users can access and interpret data intuitively to support informed decision-making
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
Minimum 10 years related experience in data analytics, business intelligence, or a related field.
Extensive hands-on experience with Python, SQL and SAS for advanced data analysis and modelling.
Strong understanding of enterprise-scale big data platforms, such as Hadoop, Spark, and cloud environments (AWS, Azure).
Proficiency in leading visualization and BI tools (e.g., Power BI, Qlik, Tableau), with the ability to automate reporting and translate dashboard insights into actionable business recommendations.
Exceptional attention to detail and analytical problem-solving skills, ensuring accuracy and reliability in all deliverables.
Clear and concise documentation and communication skills, capable of conveying technical concepts to both technical and non-technical audiences.
Experience in data migration and transformation projects is highly desirable.