全职 Senior Data Analytics Manager (BI-CRM) 工作, 薪水 up to HKD 90,000, Classy Wheeler Hong Kong 公司招聘中 - Ricebowl

Listed “blue-chip” in Hong Kong

Candidates with less experience will be considered as Data Analytics Manager (BI/CRM).

Responsibilities

• Develop and prepare regular and ad-hoc management reports to facilitate the business decision making process
• Translate business challenges and opportunities into proposition for data analysis
• Analyze business data and trend to alert management the business environment and segmental customers behavioral changes germane to business strategy
• Lead analytical projects to support portfolio analysis, customer analysis performance tracking, churn analysis as well as profitability analysis of various products, channels and customer segmentation strategies
• Develop and refine occasion bases modeling to help business units better understand our customers and industry trends
• Participate in database development projects to enhance management information quality and productivity

• University degree in Statistics; Quantitative Analysis for Business; Master of Finance or other related disciplines
• Minimum of 8 years of relevant working experience in business intelligence, customer analysis, customer segmentation, data segmentation or related fields
• Solid experience in using analytics to drive business / marketing results, transforming data to actionable insight and recommendation
• Practical experience of any CRM Package (Configuration, Customization)
• With solid experience of event triggers, campaign process management, application of CRM solutions in the context of the customer life cycle management across multiple distribution channels
• Experience in real-time lead decisioning/ large-scale CRM solution implementation is preferred
• Experience of working with a wide range of data sets, including transactional, behavioral, web and research data
• Experience in web analytics methodologies, such as experimentation, A/B testing, competitor and market analytics, online surveys, customer research etc. to optimize booth online and offline digital campaigns
• Experience in using different web and social media analytics tool (i.e. Google Analytics, Omniture, Hootsuite, Sprout Social etc.)
• Extensive experience in advanced analytics such as customer segmentation, predictive modelling, association analysis, time series analysis etc.
• Excellent knowledge of MS Excel for analysis and presentation of data and statistics
• Deep intellectual curiosity and superior analytical skills with data mining and data modeling experience
• Strong business senses, communication and presentation skills
• Project management experience and attention to details
• High proficiency in Microsoft Office applications is required