Analyst, Data & Analytics

DFS Group is the world's leading luxury travel retailer. Established in Hong Kong in 1960, DFS Group continues to be a pioneer in global luxury travel retail, offering its customers a carefully curated selection of exceptional products from over 750 of the most desired brands. Its global network consists of stores located in major global airports and downtown locations such as Hong Kong, Macau, Hawaii, etc. The Group is privately held and majority owned by the world's largest luxury conglomerate, Moët Hennessy Louis Vuitton (LVMH), alongside DFS co-founder and shareholder Robert Miller. DFS Group employs a dedicated team focused on creating inspiring omnichannel retail experiences for its customers. The company is headquartered in Hong Kong SAR.

The DFS Technology team is seeking a Data Analyst to join their Data & AI team - a global role, based in Hong Kong. In this role, the candidate will be tasked to collaborate with product owners and IT partners to drive the Analytics roadmap and support data-driven decision-making within DFS using cutting edge technology and industry best practices. The Data Analyst will play a crucial role in enhancing and evaluating the effectiveness of DFS Pricing and Promotion strategies. This position requires a blend of analytical skills, business acumen, and a passion for the luxury retail sector.

Essential duties and responsibilities:
• Drive the full lifecycle of Data projects: from gathering business requirements and understanding the end-user needs, to establishing business value and implementing a fully automated BI solution.
• Design robust and scalable BI solutions to meet the data needs whilst establishing guidelines and best practices for teams utilizing the BI solution.
• Collaborate closely with cross-functional teams, including merchandising, marketing, and finance, to drive data-informed decisions.
• Gather, clean, and maintain datasets from various sources to ensure data integrity.
• Present findings and insights to business stakeholders, providing actionable recommendations.

Requirements:
• Bachelor's degree in Data Science, Statistics, Business Analytics, or a related field.
• 2 - 5 years of experience in data analysis, preferably within the retail sector.
• Proficiency in SQL, Excel, and data visualization tools (e.g. Power BI, Micro-strategy, Tableau).
• Strong analytical skills with the ability to derive insights from complex datasets.
• Excellent communication skills, with the ability to present data-driven findings to non-technical audiences.
• Familiarity with pricing strategies and promotional tactics in luxury retail is a plus.