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Data analyst(BI/ETL) - Banking

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This role will be under wealth & personal banking team and it's a 12 months renewable contract.

Primary Responsibilities:
• Responsible for implementing digital messaging strategies across both existing and emerging digital platforms.
• Ensuring top-tier delivery of digital messaging services, from initial planning with business units to full-cycle development, post-implementation support, and performance evaluation.
• Playing a pivotal role within interdisciplinary delivery teams involving members from business, analytics, and data units, each contributing diverse skills like analysis, market insight, design, optimization, technology, and testing.
• Striving for flawless execution of value-added digital messaging, offering operational insights and a practical approach to crafting, producing, and deploying these messages optimally.
• Collaborating with the business to conduct hands-on analytics for campaign generation and tracking purposes.
• Grasping the business context and sharing valuable insights derived from analytical work.

Requirements:
• Bachelor's degree in Statistics, Data and Information Management, Mathematics, Computer Science, or a related field.
• At least 2 years of experience in information and data management within retail banking.
• Demonstrated self-motivation, organizational prowess, multitasking abilities, problem-solving skills, and capacity to influence.
• Effective communication skills with business, operational, and technical teams.
• Proficient in digital messaging technologies like SFMC, AEM, etc.
• Hands-on experience in full-cycle content development, post-implementation support, and performance evaluation.
• Familiarity with SAS, SQL, Tableau/QlikSense, Python, and Pega is desirable.
• Meticulous attention to detail and a commitment to maintaining high quality and accuracy standards.
• Strong sense of ownership and a service-oriented mindset to ensure efficient and effective customer service delivery.

Contract Type: FULL_TIME

Specialism: Tech & Transformation

Focus: Business Intelligence, AI, Data Analytics & Data Science

Industry: IT

Salary: Negotiable

Workplace Type: On-site

Experience Level: Entry Level

Location: Hong Kong

Job Reference: A61CDQ-8A1E0C94

Date posted: 09 December 2024

Consultant: Jennie Jiang

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