Responsitblities:
- Develop and implement databases, data collection systems, data analytics, data models, and strategies to enhance statistical efficiency and quality, aligning with industry and standards.
- Efficiently execute data analytics initiatives from start to finish, ensuring data is complete and qualified, and projects are delivered on time.
- Collaborate effectively with business units, IT teams, and internal members to ensure data is captured, understood, and translated for analytics, balancing cost, capability, performance, and time to market.
- Utilize the most suitable analytics models and tools on the Enterprise Data Platform to capture business decisions and process improvement opportunities.
- Integrate the latest and cost-effective technologies into analytics.
- Make informed decisions to balance data privacy with the business need for analytics, accuracy, and performance.
Requiements:
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Functional and Relevant Experience:
- Over 6 years of IT experience with solid experience in solution design, project delivery, and system integrations.
- Proven track record of leading data analytics teams to complete multidisciplinary projects.
- Strong skills in interviewing end users and negotiating to obtain detailed business requirements and use cases from key stakeholders.
- Experience in project coordination/management for delivering solutions using the Azure Data Analytics platform, including Azure Databricks, Azure Data Factory, Azure Functions, Azure Storage, Azure SQL Database, Synapse Analytics, Azure Data Lake, and Logic Apps.
- Solid experience in conducting root cause analysis on internal and external data and processes.
- Plus - Technical expertise in managing AI/ML model development and sharing coding knowledge with colleagues in AI, RAG, and prompt engineering.
- Qualifications and Relevant Knowledge:
- Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or related fields.
- Certifications in Microsoft Azure Data Analytics, PowerBI, etc., are advantageous.
- Fluency in English, with Mandarin as an advantage.