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Senior Manager - Data Analytics

Job no: 495627

Responsibilities:

  • Design and develop logical data models in multi-dimensional database, Online Analytical Processing (OLAP) and Extract-Transform-Load (ETL) and Information Design Tool, based on business requirements in order to determine the completeness of the information and process components;
  • Lead and analyze business requirements (e.g. functional and technical requirements, information need, business processes) by conducting information-gathering sessions with business stakeholders, analyzing the information and prioritizing the requirements to gain understanding of the business needs;
  • Create and build data visualizations and reports based on underlying data models to support business requirements - gain understanding of how the business truly operates and leverages information to drive insights through information;
  • Validation of complete data accuracy.  Develop testing, implementation, data conversion or application support strategies in conjunction with application and data teams;
  • Monitoring of data ETL and complex analytical outputs

 

Requirements:

  • Bachelor's degree in Engineering, Computer Science, Information Systems, or, Business Administration with a concentration in Information Systems;
  • At least 2-3 years in the same/equivalent position
  • Proven work experience in building data visualizations and end user reporting utilizing tools specially with Power BI‎;
  • Experience creating and refining conceptual alternatives, technology design and blueprint to address business needs;
  • Experience on e-Commerce and customer loyalty is an advantage;
  • Able to work under pressure in fast-paced environment;
  • Proficient in both spoken and written English and Chinese
  • Hands-on experience in ETL Development using SSIS and SQL Server, MongoDB, JSON, parquet and Data Warehouse;
  • Knowledge in Microsoft Azure and its components including Data Lake and ADF is highly preferred;



Advertised: China Standard Time
Applications close:

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