OCBC Bank (Hong Kong) Limited
AVP, Data Analytics (Consumer Financial Services)
Skills
25 days ago
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Important information
Contract type:
Permanent
Work mode:
Onsite
Published on:
2 October 2026
What they need
Purpose of the role:
We are seeking an experienced analyst 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:
Advanced Analytics
- Develop and implement 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.
- Carry out advanced analytical insights effectively by leveraging data and generate actionable recommendations
Campaign management
- Execute campaign management process, implement efficient and effective campaign execution
- Execute campaign performance measurement and deliver regular performance reviews to ensure continuous improvement and ROI optimization.
Analytics Visualization
- Design and implement 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
Who are we looking for:
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
Minimum 7 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.
Experience in robotic process automation is highly desirable.
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