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Assistant Digital Innovation and Growth Manager (Data Analytics)

Job No.: 499509
Employment Type: Full time
Departments: Digital Innovation and Growth Department
Job Functions: Marketing

You will be reporting to the Program Lead of Wellness Ecosystem Program named “Live Young” under Digital, Innovation & Growth Department. You will be part of the energetic Live Young team to drive changes and business impact for various stakeholders.
 
Job Responsibilities:
  • Assist in managing the overall data analytics framework for the loyalty program (“Live Young”) to drive for customer loyalty thus to increase customer sales.
  • Work with cross functional teams on customer segmentation & analysis together with campaigns performance to develop analytics reports with actionable insights and recommendations.
  • Analyze and prepare regular and ad-hoc management and business reports to facilitate in data driven decision making.
  • Understand business priorities and requirements and find opportunities where analytics can build business value and insights.
  • Translate business needs into tangible analytics hypothesis, locate relevant data point and craft the end to end pipeline, including the frontend presentation design.
  • Serve as the link with business users to develop, validate and implement successful data insight.
  • Participate in GenAI development, work with internal / external IT partners for deployment, and hands on coding on RAG framework (e.g. LangChain)
Job Requirements
 
  • Bachelor’s degree in statistics, mathematics, information management or analytics areas
  • At least 4 years in data analytics and CRM background
  • Proficiency in SQL and Python is a must
  • Understanding on Agentic RAG and its hands-on code experience is highly preferred
  • Object Oriented Programming (OOP) skill is highly preferred
  • Strong business acumen, analytical skills, numerical sense and be able to work independently with attention to details.
  • Client (including internal clients) engagement experience strongly required
  • Knowledge in data pipeline, data modelling is highly preferred
  • Experience in leading development projects in FS industry preferred
 
We offer 5-day work week, attractive remuneration package and excellent training & development opportunities. Interested parties please apply with full resume including expected salary to: hr@boclife.com.hk.

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