Assistant CRM Business Analytics Manager (12M Contract to HKD38K pm
Title: Assistant Data Analytics and CRM Manager (CRM) Duration: 12 months Salary: HKD38,000 per month (depending on experience) Team: CRM and Messaging 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 2 years' retail banking experience in information and data management
- 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
