HKT Digital Ventures builds a growth model with an integrated digital ecosystem consisting of business verticals ranging from e-Commerce, insurance, digital health, travel to FinTech services. Leveraged by high profiling loyalty program and big data of high future visibility, we run a very successful and promising digital ecosystem in Hong Kong. Your role: Translate group-wide commercial goals into quantitative analytical frameworks, using unified customer data across Telecom, Financial Services, and Digital Health / Insurance to maximize Customer Lifetime Value (CLV). Conduct deep-dive customer profiling and multi-dimensional segmentation to map cross-pillar journey touchpoints and tier progression. Identify high-value cross-selling and up-selling pathways to expand multi-product holding across the group. Build and maintain holistic executive scorecards, KPI frameworks, and BI dashboards to monitor core loyalty health metrics Evaluate customer campaign effectiveness across acquisition, engagement, and retention programs; measure offer redemption elasticity, multi-touch attribution, and ROI. Formulate and analyze A/B and multivariate experimentation frameworks to drive continuous improvement in member engagement strategies. Synthesize digital product analytics (web/app clickstream, event payloads) with backend transactional and loyalty data to maintain a true 360-degree customer view. Implement conversational analytics interfaces and AI-assisted workflows to automate routine reporting, enable natural language querying (NLQ) for business leaders, and establish proactive anomaly detection alerts for rapid decision-making. To succeed in this role: Bachelor’s or Master’s degree in Business Analytics, Statistics, Computer Science, Information Systems, Data Science, or a related quantitative field. 1+ year of hands-on experience in business analytics, BI development, customer/CRM analytics, or digital analytics. Advanced SQL & Scripting: High proficiency in production-grade SQL and scripting languages like Python or R for data manipulation and statistical analysis. BI Expertise: Proven ability to design and build high-performance, interactive executive dashboards in Power BI, Tableau, or Looker Studio. Domain & Funnel Knowledge: Solid understanding of customer acquisition/retention loops, CRM performance metrics, and web/mobile digital user journeys. Communication & Storytelling: Strong ability to translate complex analytical findings into executive-ready insights and presentation decks for non-technical leadership. Good command of Cantonese and English. A nice-to-have in this role: Cloud Migration & Data Architecture: Prior experience participating in cloud migration initiatives or working directly with cloud data warehouses, specifically Google Cloud Platform (BigQuery) or AWS (Redshift). ETL/ELT Pipeline Modeling: Hands-on experience or familiarity in designing and modeling scalable ETL/ELT pipelines, schemas, and analytics engineering tools. AI & Workflow Automation: Familiarity with leveraging Generative AI / LLMs to accelerate SQL generation, python scripting, or automated documentation. Industry Experience: Background in Loyalty Program, Telecom, E-Commerce, InsurTech, HealthTech or FinTech. Customer Data Ecosystems: Experience working with Customer Data Platforms (CDPs), CRM automation tools (e.g., Adobe Campaign, Salesforce, HubSpot), or predictive modeling techniques.