Job Responsibilities

• 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

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

*Gleneagles always prioritizes staff’s well-being and work-life balance. Join us now to enjoy our enhanced leave package with Family Care Leave, Birthday Leave, etc! We also offers Voluntary Provident Fund Scheme - employer's contributions including MPF equal to 8% of employee's basic salary, with no cap. Join us and let us be your long-term partner through your journey of career development!