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Sun Hung Kai Properties · Hong Kong

Head of Data Analytics & Customer Insights

Hong KongExecutiveData & Analytics

Last seen on Sun Hung Kai Properties’s official careers site on July 30, 2026; it may have closed since.

Apply on Sun Hung Kai Properties’s careers site →

Job description

Requirements

University graduate, preferably major in Quantitative Analysis, Statistics, business or related disciplines At least 10 years’ strong record in data analytics and business insights of loyalty programs in fast-paced industries such as FMCG / retail / shopping malls / telecommunications Strong business acumen to identify key business drivers and customer needs, draw relevant data insights & recommendations to achieve business goals Experienced in evaluating business results and developing data visualization tools (e.g.

Tableau, PowerBI etc) that brings actionable insight

  • Proficiency in advanced data tools such as SQL and Python will be a plus; experience in advanced analytics and applying AI tools in analytics will be a plus Effective in communicating key findings and insight to senior executives and business partners, driving timely actions and smart decisions
  • Strong passion in driving business growth, while staying agile and adaptive to market changes; able to cope with fast-paced environment and organize multiple & competing priorities simultaneously

Responsibilities

  • Manage the overall data analytics framework for the loyalty program with an aim to drive sales and customer loyalty Timely support the program and business stakeholders to recommend key business insights and strategy; Evaluate business trends, customer behaviors and impact of key business initiatives; develop executive-ready reports
  • Oversee the execution of data management and analytics strategy including data governance, management, modeling, segmentation etc.

Bring in best practices in advanced data analytics and predictive modelling for digital marketing, campaign management and related initiatives Work closely with related partners to ensure relevant data mapping and effective use of data

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