Data Analyst, AM/FS/30-35K HKD PM/12 months/Cantonese

Title: Assistant Data Analytics Manager
Duration: 12 months


Principal responsibilities:
• Accountable for delivering the digital messaging propositions across various legacy and new digital platforms – including but not limited to eDM, SMS, MMS, Push Notifications as well as other future channels/devices
• Providing the best-in-class delivery in digital messaging from initial scoping with business units through to the end-to-end development lifecycle as well as post implementation support and measurement
• The role holder will be a key member of the cross functional delivery teams comprising of participants from business, analytics and data teams that possess a wide range of skills that include and not limited to analysis, market understanding, design, optimization, technology and testing
• The role holder will strive to ensure flawless execution of digital value-added messaging and will provide operational insight and offer a pragmatic approach to design, manufacture and deployment of these messages at the most optimal level.
• To collaborate with business and perform hands-on analytics for campaign lead generation as well as tracking
• To understand the business and identify/share business insight from analytics works

Requirements:
• University degree in Statistics, Data and Information Management, Mathematics, Computer Science or other related discipline
• Minimum 3 years' retail banking experience in information and data management

• Strong Python and SQL skills
• Experience working in data-related roles or campaigns
• Strong self-motivation, organization, multi-tasking, problem solving and influencing skills
• Ability to communicate effectively with business, operation and technology teams
• Solid understanding of digital messaging technology (such as SFMC, AEM, etc.)
• Hands-on experience and knowledge in the end-to-end content development lifecycle as well as post implementation support and measurement
• Knowledge and/or experience in SAS, SQL, Tableau/QlikSense, Python, Pega is preferred
• Detail-oriented and zero tolerance on quality/accuracy issue
• Great sense of ownership and servicing mind-set to ensure efficient and effective customer service delivery

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.