Deep intellectual curiosity and superior analytical skills with data mining and data modeling experience. Experience of working with a wide range of data sets,……
Develop and facilitate the implementation of these practices within the organization. Design and conduct data analyses to support decision-making and……
Knowledge of data governance and data quality technical implementations. Conduct client data profiling to understand current data landscape and quality issues.…
Develops SSU timelines as required and reports progress including plans to address potential risks/gaps to the project team, Project Manager (PM), SSU……
Collaborate with data management and CRAs to ensure data quality and compliance with data cleaning timelines. Responsible for eTMF implementation and management……
Measurement and maintenance of critical product group performance data in order to ensure that Tech Data meets its vendor commitments and fully leverages all……
Keeps account manager informed of account status and opportunities for expanded business. Coordinates with account manager to ensure needs are met and potential……
Co-operates with platform manager to clear pending items, improve quality and resolve problems. Maintains HSBC internal control standards, including timely……
Lead and support the transformation project to implement the actuarial stochastic model on PathWise, covering model design, testing, and implementation.…
Proactively identifies risks early and recommends mitigation plans to address with project stakeholders. 4-5 years of ERP / Business application implementation……
Support the implementation of key real estate initiatives as a Program Manager. Whilst providing key support to the region lead, you will be responsible for……
Lead the charge in innovation, development and implementation of new features and enhancement. Identify how end-user uses the apps and services and investigate……
Strong data analysis skills such as SAS tools or good knowledge of computer programming is preferred. Assist in policy formulation and design the policy……
Recall & Service Measures Execution: Organize and track the implementation of OEM recalls and Service Measures, ensuring compliance with factory standards and……
Drive actuarial model build and GMM implementation, and help lead the migration to a scalable actuarial platform. Financial Reporting & Capital Management.…
Pay attention to details, especially those in relation to product implementation timeline and associated risks. Lead and own the Rewards Programs.…
Adapts departmental plans and priorities to address resource and operational challenges. Familiarity with AI governance, ethical AI principles, and data privacy……
Collaborate with data management and CRAs to ensure data quality and compliance with data cleaning timelines. Responsible for eTMF implementation and management……
Support the transformation project to implement the actuarial stochastic model on PathWise, covering model design, testing, and implementation.…
Good understanding of technology risk management and cyber security best practices, with broad knowledge of Fintech, data privacy and/or industry practices.…
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
The minimum salary is HK$60,000 and the max salary is HK$90,000.
HK$60,000 – HK$90,000/mo (Employer provided)
HK$75,000
/mo Median
Central
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