Assistant Data Analytics and CRM Manager (CRM)

Data, Analytics and CRM

We are currently seeking a high caliber professional to join our department as Assistant Data Analytics and CRM Manager

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