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AVP, Data Analytics (Consumer Financial Services)

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Onsite

AVP, Data Analytics (Consumer Financial Services)

OCBC Bank (Hong Kong) Limited

AVP, Data Analytics (Consumer Financial Services)

Skills

SQL QueriesBig DataTableauPythonData ScienceData AnalysisAIAWSHadoopPower BIAzure

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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