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AI Data Analyst

Summary

Build AI agents and Power BI dashboards on Microsoft Azure for clients, bridging tech teams and executives while driving AI transformation through storytelling and demos.

Drive client's AI transformation, work as the bridge between the Greater China Region clients and Asia Pacific development team, develop Agentic AI solutions and/or Data Platform for our global clients with Microsoft Azure Technologies.

Job Description (Responsibility)

  • Drive the digital transformation conversation with customers via storytelling.
  • Prepare PPT/Demo and pitch the executives in English/Chinese.
  • Actively elicit Data and AI requirement from client.
  • Collaborate with developers about the feasibility and solution design.
  • Requirement analysis and first level data exploration (relationship between fact tables and dimension tables).
  • Create or update documentation in support of development, which may include detailed specifications and flow diagrams.
  • Develop Agentic demo based on high level requirement.
  • Develop and implement Power BI on top of Microsoft Data Platform (Microsoft Fabric).
  • End to end involvement (act as assistant PM) with the team from requirement study, documentation, development, implementation, user training, UAT and go-live support.

Requirement

  • Degree in Business / Computer Science / Information Technology and / or relevant disciplines.
  • At least 2 years working experience related to building AI agents, BI reports (Tableau, Qlik or Power BI), automation workflow, RPA, or low-code app development.
  • Able to present the concept of Agentic AI, data warehouse and BI Story telling is a must.
  • Able to use AI at daily work is a must.
  • Knowledge about SSIS, SSAS, other BI tools, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure AI, GenAI, Copilot Studio, Chat bot, Github Copilot, Computer Vision, IoT, Power Platform is a plus.
  • Prior experience in any CRM/ERP/POS/ECOM is a plus.
  • Good analytical mind, self-motivated and able to work under minimal supervision.
  • Proficient in spoken and written Cantonese, Mandarin and English is a MUST.

See also