AVP, Data Analytics (Consumer Financial Services)

OCBC Bank (Hong Kong) Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

OCBC Bank (Hong Kong) Limited seeks an experienced analyst to drive data-driven transformation, combining advanced analytics, campaign management, and data visualization to deliver actionable strategies and measurable business outcomes. You will develop AI and automation initiatives, partner with cross-functional teams, and translate insights into business recommendations.

A focus on self-service analytics will empower users to access timely insights across segments and channels.

Qualifications

• 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 (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.

Responsibilities

• 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.
• Carry out advanced analytical insights and generate actionable recommendations.
• Execute campaign management process and measure performance for ROI optimization.
• Design and implement interactive dashboards and visualization tools for stakeholders across segments, products, and channels.
• Enable self-service analytics capabilities so business users can access data intuitively.

Skills

Data analytics

Business intelligence

Python

SQL

SAS

Visualization

Power BI

Qlik

Tableau

Automation

Self-service analytics

Documentation

Communication

Education

Bachelor's degree in Data Science or related

Tools

Hadoop

Spark

AWS

Azure

Job description

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.

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.