Manager, MCE Analytics

The Hong Kong Jockey Club; Hong Kong; On-site; HKD 800,000 - 1,300,000; Full time

Job summary

The Hong Kong Jockey Club is seeking an experienced data analytics professional to drive insights across member and customer experiences. You will build dashboards (Tableau/Power BI), perform statistical modeling, and translate data into actionable business recommendations for senior stakeholders.

The ideal candidate has 8+ years in data analytics, strong Python/SQL skills, and familiarity with privacy‑aware data processing and AI-assisted tooling such as Copilot Studio.

Qualifications

• Minimum 8 years of experience in data analytics, statistics, or data science.
• Strong experience in dashboarding and data visualization with Tableau/Power BI.
• Exposure to machine learning, customer analytics and forecasting preferred.
• Proficient in Python for analytics and modelling with common libraries.
• Proficient in SQL for querying large datasets and building analytical structures.
• Experience with AI-assisted tools (e.g., Copilot Studio) for prototyping.
• Familiarity with privacy‑aware data processing and secure handling.

Responsibilities

• Orchestrate analyses and statistical modelling to monitor trends and performances.
• Provide professional advice and foster consultative partnerships with internal stakeholders.
• Proactively manage project scope, risks, and contingency plans.
• Develop research plans and project documentation for analytics initiatives.
• Define project scope and deliverables aligned with KPI monitoring.
• Manage agencies to deliver high‑quality data and actionable insights.

Skills

Data analytics

Dashboarding

Python

SQL

AI tools

Copilot Studio

Data privacy

Tools

Tableau

Power BI

Job description

The Hong Kong Jockey Club

The Hong Kong Jockey Club Founded in 1884, The Hong Kong Jockey Club (“the Club”) is a world-class racing club that acts continuously for the betterment of our society. The Club has a unique integrated business model, comprising racing and racecourse entertainment, a membership club, responsible sports wagering and lottery, and charities and community contribution. Through this model, the Club generates economic and social value for the community and supports the HKSAR Government in combatting illegal gambling.

The Division - Membership & Customer Excellence (MCE)

The Membership and Customer Excellence (MCE) Division is responsible for delivering world-class experiences and deepening engagement across all customer segments. The team oversees operations of clubhouses, racecourses, and Off-Course Betting Branches (OCBBs), while enhancing member and owner value propositions and promoting interest in horse ownership and equestrian sports. It leads the Club’s customer experience strategy across digital and physical touchpoints, ensuring consistency, agility, and excellence. The Division also manages data strategy and governance to build a unified view of customers, enabling more personalised and impactful interactions.

The Job

• Orchestrate analyses, including statistical modelling and internal data analyses, that help the business monitor the business environment, industry trends, competitive landscape, product/channel performances and shift in member behaviours at portfolio level
• Provide professional advice and foster consultative partnership relationships with internal stakeholders
• Proactively manage changes in project scope, identify potential issues/conflicts, and devise resolutions/contingency plans
• Develop full-scale research and analytical project plans and associated project documents
• Define research and analytics project scope, goals and deliverables that support business goals and KPI monitoring in collaboration with senior management and stakeholders
• Manage agencies to deliver quality data and reports with actionable insights for business use
• Develop best practices and tools for project execution and management

About You

• Minimum 8 years of experience in data analytics, statistical analysis, AI applications, data science or similar fields
• Strong experience in dashboarding and data visualization (e.g., Tableau, Power BI) to support decision making
• Exposure to machine learning techniques, customer or user experience analytics, and operational forecasting preferred
• Python for analytics and modelling, including common libraries such as pandas, numpy, scikit-learn, etc
• SQL for querying large operational and customer datasets and building analytical data structures
• Experience with AI‑assisted tools and platforms, including Microsoft Copilot Studio, for prototyping conversational agents and workflow automation
• Familiarity with data pipeline orchestration and privacy‑aware processing (hashing, masking, secure handling)

We offer competitive salary and benefits packages, dynamic working environment and development opportunities.

Equal Opportunity and Inclusive Hiring

We are an equal opportunity employer and strive to create an inclusive workplace for all. Applicants from diverse backgrounds are welcomed to apply. If you have any special needs or require accommodations during the interview process, please e-mail us via [e-mail]. Personal data provided by job applicants will be used strictly in accordance with the Club's notice to employees and job applicants relating to the Personal Data (Privacy) Ordinance. A copy of which will be provided immediately upon request.