Job Description
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
- Strong commitment in taking new challenges and self-motivation
- Strong communication, analytical and project management skills
- Proficiency in both English and Chinese
Click "Apply Now" to apply for this position or call Andrey Sin at +852 3180 4951 for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.