Assistant Manager

About the Job

We are seeking a high-calibre Assistant Manager to drive data-driven decision making and digital transformation initiatives. This role will work closely with business stakeholders and cross-functional teams, applying advanced analytics technologies such as machine learning and AI to deliver impactful analytics solutions across retail, CRM, and operational domains.

Key Responsibilities

Data Analysis & Strategy Development (Global markets)

•  CRM analytics – Build and optimize CRM analytics frameworks: customer segmentation, lifetime value prediction, churn prevention, and omnichannel campaign optimization.
• Precision marketing and personalized customer engagement – Design, develop, and deploy AI/ML-powered product selection systems that deliver highly personalized jewellery suggestions, significantly enhancing customer experience by making every interaction more relevant, engaging, and delightful.
• Promotion impact analysis – measure campaign ROI, sales uplift, A/B testing, cannibalization effects, incremental revenue, and long-term customer behavior changes to continuously optimize promotional strategies.
• Product and inventory analytics – Conduct deep-dive product analytics to uncover insights on jewellery trends, assortment performance, pricing, and cross-selling opportunities.

Use of Digital Transformation in Analytics

• Stay ahead of the curve by experimenting with the latest AI tools, generative AI, and advanced causal inference techniques relevant to retail and luxury jewellery.
• Apply AI and advanced analytics to improve speed and accuracy.
• Identify data issues and area of improvement to enrich customer data and ensure quality.
• Standardize analytics for consistency and scalability.

Data Analytics Business Partner Representative

•  Work closely with merchandising, marketing, e-commerce, and loyalty teams to implement data-driven initiatives.
• Translate business questions into analytical frameworks and actionable recommendations.
• Support end-to-end analytics initiatives, including data extraction, analysis, modelling, and insight generation.
• Develop dashboards, reports, and data visualisations to support management decision-making.
• Project Management and collaborate with technical team and vendors during the development activities.

Requirements

• Bachelor’s degree or above in Data Analytics, Statistics, Computer Science or related quantitative field.

• 5+ years of hands-on experience in working with large datasets, preferably in luxury retail, e-commerce, or consumer goods.

• Proficiency in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch) AND strong working knowledge of either SAS or SQL.

• SAS / SQL or relevant professional certificates is a strong plus.

• Experience with AI and BI tools (e.g. Power BI, Tableau, Copilot, Claude etc.), big data tools (Spark, Databricks) and cloud platforms (AWS, GCP, or Azure) is an advantage.

• Strong analytical thinking with good business acumen.

• Ability to thrive and adapt to a fast paced, dynamic, growth environment.

• Passion for the retail/luxury sector and a customer-first mindset.

• Proficient in English and Chinese (Cantonese and Mandarin).