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Operational Excellence
Analytics Engineer, Operational Excellence (1-year contract)
Reference No. GHK-AE(Ops)
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