Analytics Engineer, Operational Excellence (1-year contract)
Summary
A 1-year contract role at Gleneagles Hospital Hong Kong building and maintaining end-to-end analytics data pipelines (ETL/ELT), data models, and BI dashboards. Day-to-day work centers on SQL, Azure data tools (Data Factory, Synapse, Fabric), Databricks, and Power BI, plus data quality and stakeholder reporting needs.
Analytics Engineer, Operational Excellence (1-year contract)
Build and maintain the end-to-end analytics data pipeline, ensuring data flows smoothly from source systems through transformation to dashboards and reports
Develop and manage ETL / ELT processes to collect, transform, and prepare data from multiple systems for analytics and reporting use
Identify opportunities for process improvement within data workflows, reporting cycles, and data management practices to enhance efficiency and effectiveness
Collaborate with stakeholders to re-engineer existing processes and introduce best practices in data governance, analytics delivery, and reporting operations
Design and maintain data storage structures that are reliable, easy to maintain, and optimized for reporting performance
Create and maintain data transformations, queries, and logic to ensure data is structured, accurate, and ready for business analysis
Ensure the accuracy, consistency, and reliability of data by performing validation checks, monitoring data quality, and maintaining clear definitions of metrics and KPIs
Work closely with business stakeholders to understand reporting needs, define key measures, and translate business requirements into practical data solutions
Design, build, and maintain dashboards and reports that provide clear insights and support both operational needs and management decision-making
Apply sound data visualization principles to ensure dashboards are easy to understand, consistent, and user-friendly
Document data models, transformation logic, and reporting definitions to support transparency, knowledge sharing, and ongoing maintenance
Continuously review and improve data pipelines, datasets, and dashboards to enhance performance, usability, and scalability
Requirements
Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related discipline
At least 3 years of relevant experience in data analytics, business intelligence, analytics engineering, or a similar role
Experience developing data pipelines and ETL processes using tools such as Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, and SQL
Proven experience or exposure to process improvement, workflow optimization, or automation initiatives will be an advantage
Strong proficiency in SQL, with solid experience using Power BI DAX
Experience working with large data models and datasets, including both structured and semi-structured data, for reporting and analysis purposes
Hands‑on experience designing, developing, and maintaining dashboards and reports using Power BI, Tableau, or similar BI tools
Ability to work closely with business users to understand reporting requirements and translate them into data solutions and dashboards
Strong attention to data accuracy and data quality, with a well‑organized and detail‑oriented approach
Good communication skills and the ability to work collaboratively with cross‑functional teams