Job Description 

Role And Responsibilities

• Take a leading role in gathering requirements from key stakeholders to design, develop and improve customer ecosystem
• Provide internal consultancy services on customer ecosystem project implementation, data capture requirements, analytical solution, workflow design and process re-engineering if needed
• Work closely with Business Units and IT Department to identify relevant structure and unstructured data from all customer touchpoints (internal and external)
• Take a lead in initiating advanced analysis, segmentation, modeling and machine learning to support cross Business Units strategy development
• Responsible for structured and unstructured data gathering, cleansing, model building, findings visualization and insights presentation to users
• Take ownership in conducting specific analysis and model building to identify cross Business Unit synergy and / or to address specific business issues or needs

Requirements

• University degree or above in Quantitative Analytics, Statistics, Mathematics, Information Management, Computing or a related discipline
• Practical experience in advanced data analysis and customer segmentation, with at least 3 years in statistical modelling and machine learning (eg: regression, scenario analysis, clustering, decision tree, NLP, etc)
• Hands on experience in data mining using such R, Python, SQL, etc
• Experience in leading large scale analytics projects that drive significant change
• Strong analytical mind with good report writing skills, and able to transform data into actionable insight
• Experienced in data visualization using Tableau, Power BI or Qlikview
• Good understanding of CRM system, campaign management system, data warehousing, Digital Analytics, etc
• Exposure to cloud-based big data technologies, e.g. Azure Databricks
• Exposure to Master Data Management (MDM) tools, e.g. Informatica or Profisee
• Strong commitment in taking new challenges and self-motivation
• Strong communication, analytical and project management skills
• Proficiency in both English and Chinese
• Candidate with more years of experience will be considered as Manager/ Senior Manager.