yuu Rewards is Hong Kong’s newest, biggest and best rewards club. Launched in July 2020, it has rapidly grown to a membership covering over 50% of the addressable population in Hong Kong. And we continue to grow! The yuu Rewards team is highly energetic and motivated to do the best for our members and partners and we’re always looking out for likeminded individuals to join us on our exciting growth journey.

Responsibilities

• Manage and lead customer analytics for yuu partners with the aim to drive sales and customer engagement
• Establish analytics framework and measurement approach to address key business questions
• Using data and analytics to drive customer insights & recommendations
• Proactively engage and consult with yuu partners as key contact for business & customer needs enquiries and translate business problems into solution and recommendation
• Lead automation, standardization of reporting to enhance work efficiency
• Build and maintain good working relationships across departments to ensure effective analytics delivery
• Lead a small team of analysts to deliver customer analytics, conduct business reviews, perform customer segmentation and evaluate campaign effectiveness

Requirements

• Bachelor’s degree in Statistics, Data Science, Information Management, Computer Science, Mathematics, or related fields
• For Senior Manager - 8+ years’ experience working in CRM/ loyalty analytics, business analytics, data science, business intelligence, preferably in Retail, FMCG, Loyalty or FS industry
• For Analytics Manager - 6 - 8 years’ experience working in CRM/ loyalty analytics, business analytics, data science, business intelligence, preferably in Retail, FMCG, Loyalty or FS industry
• For Assistant Manager - at least 4 years’ experience working in CRM/ loyalty analytics, business analytics, data science, business intelligence, preferably in Retail, FMCG, Loyalty or FS industry
• Proficient in programming languages like SQL, Python, SAS, R, Tableau, Power BI
• Knowledge in Azure, Databricks, Google Analytics, Salesforce would be advantages
• Experience in advanced analytics such as customer segmentation, predictive modelling, NLP would be advantages
• Excellent interpersonal, communication and presentation skills, result-oriented with strong business acumen
• A natural curiosity to interrogate data and identify hidden patterns to support business needs
• Candidates with less experience will be considered as Analytics Manager