Classy Wheeler

Senior Data Manager

Hong Kong

about 6 years ago
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Summary

Client Description Listed “blue-chip” in Hong Kong Job Description 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 Job Requirements 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

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