Job Description
7 days ago
Role: Data Analyst & CRM Manager
Client: Top-tier International Bank
Duration: 12-Month Contract (Renewable)
Salary: 35,000 – 48,000 HKD per month
Location: Hong Kong
Core Purpose
Drive high-impact customer engagement for a leading retail bank by merging sophisticated data programming with strategic CRM execution. You will be responsible for the end-to-end delivery of data-driven campaigns, from initial Python-based segmentation to post-implementation measurement.
Key Responsibilities
• Data Engineering: Execute advanced data extraction and manipulation using Python (Mandatory) and SAS (Advantageous).
• CRM & MarTech: Manage the full content development lifecycle using digital messaging tools such as SFMC, AEM, or Pega.
• Analytics & Reporting: Translate raw data into actionable insights via Tableau or QlikSense to optimize customer service delivery.
• Cross-Functional Collaboration: Partner with Business, Operations, and Technology units to ensure seamless project integration.
• Data Integrity: Maintain a "zero-tolerance" approach to quality/accuracy issues within the banking environment.
The Successful Candidate
• Experience: Minimum 5 years in Retail Banking with a focus on information and data management.
• Technical Skills: Expert-level Python is a must. Proficiency in SQL and SAS is highly preferred.
• Education: Degree in Statistics, Data Management, Mathematics, Computer Science, or a related field.
• Language: Fluency in Cantonese is required to facilitate effective communication with internal stakeholders and local business teams.
• Soft Skills: Strong sense of ownership, multitasking ability, and a service-oriented mindset.
Note
Candidates with less experience will be considered for the Assistant Business Analytics Manager position.
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.
Client: Top-tier International Bank
Duration: 12-Month Contract (Renewable)
Salary: 35,000 – 48,000 HKD per month
Location: Hong Kong
Core Purpose
Drive high-impact customer engagement for a leading retail bank by merging sophisticated data programming with strategic CRM execution. You will be responsible for the end-to-end delivery of data-driven campaigns, from initial Python-based segmentation to post-implementation measurement.
Key Responsibilities
• Data Engineering: Execute advanced data extraction and manipulation using Python (Mandatory) and SAS (Advantageous).
• CRM & MarTech: Manage the full content development lifecycle using digital messaging tools such as SFMC, AEM, or Pega.
• Analytics & Reporting: Translate raw data into actionable insights via Tableau or QlikSense to optimize customer service delivery.
• Cross-Functional Collaboration: Partner with Business, Operations, and Technology units to ensure seamless project integration.
• Data Integrity: Maintain a "zero-tolerance" approach to quality/accuracy issues within the banking environment.
The Successful Candidate
• Experience: Minimum 5 years in Retail Banking with a focus on information and data management.
• Technical Skills: Expert-level Python is a must. Proficiency in SQL and SAS is highly preferred.
• Education: Degree in Statistics, Data Management, Mathematics, Computer Science, or a related field.
• Language: Fluency in Cantonese is required to facilitate effective communication with internal stakeholders and local business teams.
• Soft Skills: Strong sense of ownership, multitasking ability, and a service-oriented mindset.
Note
Candidates with less experience will be considered for the Assistant Business Analytics Manager position.
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.
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