Career Macau

Senior Analyst - Business Intelligence (Corporate)

  • Degree holder in Computer Science/ Information System/Mathematics/Statistics or related field. Prefer Master/PhD.
  • Fluency in spoken/written English & Chinese
  • At least 3 years hands-on experience in SQL and/or SAS is a must.
  • At least 3 years working experience in using data analytics approach to drive business/marketing results
  • At least 3 years hands-no experience in data visualization, reporting & dashboarding tools such as Microsoft BI, SAS BI, Tableau and/or QlikView
  • Knowledge in statistical modeling or Data Mining/Machine Learning techniques is a plus
  • Experience in retail and hospitality industry is a plus
  • Experience in production level Software Development is a plus
  • Management consulting experience is a plus
  • Support the properties in evolving their direct marketing strategies to achieve maximum response rates at optimal reinvestment rates, and to drive engagement and wallet share across lines of business (gaming, hotel, F&B/retail and entertainment) and in-between trips
  • Develop and execute strategy around cross-market direct marketing offers to leverage LVS’ global footprint in driving crossmarket visitation and wallet share
  • Monitor results of direct marketing campaigns at the campaign & patron level, and develop best practices and improvement action plans
  • Develop the roadmap for metrics that are to tracked and automated with corporate marketing peers and property counterparts
  • Provide access to internal data sources for use by the BI and analytical tools, until IT completes the data warehouse or includes such data in the data warehouse
  • Identify and provide access to external data sources that enhance reporting and analytics, until IT includes such data in the data warehouse
  • Develop automated, and in some cases real-time, marketing reports and dashboards that help marketers focus on what is important or what are outliers that require action
  • Derive insight from the analytics and communicate insight narratives to senior leadership and peers
  • Train and coach property counterparts in the full use of the BI tools to maximize its benefit
  • Manage the productionalization of advanced analytical models that have been developed by the Data Science team and approved by the properties
  • Monitor the results of the productionalized advanced analytical models and develop triggers to identify when model
  • performance is underperforming against criteria
  • Perform data visualization to explore unhypothesized trends and relationships in the data
  • Other duties as directed by management
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