(Senior) Data Analyst (Power BI/ SQL/ ETL)- 25-30k

Location: Hong Kong
Contract Type: Permanent
Specialisation: Technology
Salary: Negotiable
REF: BBBH213905_1631702998


  • Data and Reporting - Study existing legacy reports (Eg. Sales, CRM reports) and build clear documentation; Identify opportunity (both short and long term) to simplify and standardise the systems and tools across different divisions by using technologies; Interact with Regional team/vendors to deliver the solutions to the business.
  • Study and identify opportunities for automation within system and processes (Eg. Retail POS, CRM, SAP etc)
  • Work closely with local business and Regional IT team to deliver the Google Cloud Platform for reporting as the long term solution.
  • Continuously sharpen the skillset by learning and maintaining knowledge of existing and emerging Automation tools.
  • Handle any application support and ad hoc tasks assigned


  • A degree holder from Computer Science / Information Technology
  • Preferably with 3-5 years 'experience, exposure to MNC is preferred
  • Exposure to SAP Master Data and business processes preferred (not mandatory)
  • Proficiency in Relational databases (SSMS) and SQL for querying and extracting data, experience with writing Store Procedures
  • ETL Concepts is mandatory
  • Experienced in either Linux or Windows Configuration, Scripting
  • Preferred experienced in PowerAutomate (Microsoft)
  • Experienced with JSON and REST APIs
  • Proficiency in at least 1 programming languages (Python, Java, R etc.) for Data gathering, data cleansing.
  • Strong and effective written and oral communication to clearly convey error findings
  • Must possess strong analytical and problem-solving skills, be flexible, self-starter, ability to solve problems, develop solutions, multi-task and maintain deadlines for development initiatives.
  • Demonstrate the ability to work independently, coordinate the efforts of others
  • Fluency in written and spoken English and Chinese.
  • Exposure to Cloud platform/Server (GCP, AWS, Azure) is preferred.

Contact Ms. Alexandra Leung at (852) 3103 4312 or APPLY NOW.

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