Senior Executive, Business Intelligence

The Executive, Business Intelligence SEAO supports regional data initiatives and day-to-day data operations that enable informed decision making, with the broader objective of steering the SEAO region toward a data-oriented organisation. The role centres on backend data management and project execution, ensuring data availability, accuracy, and reliability across multiple systems and markets. It also supports the development and maintenance of business intelligence dashboards and reports for regional stakeholders.

• Support end-to-end data integration projects, bringing external and internal datasets into the company's data cube while ensuring quality and alignment with existing structures.
• Support the building and validation of data elements that reflect business logic, ensuring they are accurate, consistent, and ready for analytical use.
• Perform comprehensive, ongoing validation of data against source systems to ensure data accuracy and alignment with business logic.
• Develop and maintain detailed data glossaries documenting each data point including its definition, source and intended use.
• Support business users to resolve BI-related issues and ensure minimal downtime, including conducting first-level checks to understand the nature of issues, identifying root causes, and working with the Global BI team to resolve issues as required.
• Lead the development and implementation of robust BI reports based on business requirements and in accordance with timelines.
• Review business operations to identify areas for improvement that can be bridged through BI, and gather requirements from business users.
• Develop dashboards based on business requirements and best practices.
• Perform testing to ensure data accuracy and functionality as per requirements.
• Conduct training for end users to enable them to fully utilise the reports and dashboards.

• Bachelor's degree in Computer Science, Data Analytics, Business, or related fields.
• 1-2 years in business intelligence, analytics, or data engineering and/or business intelligence field.
• Power BI.
• Professional in DAX (using DAX Studio, Tabular Editor, Power BI).
• Strong coding skills in SQL and Python.
• Basic understanding of Azure Synapse Analytics (Synapse Pipelines; Apache Spark for Synapse, Synapse Studio) and other ETL tools.
• Basic knowledge in SAP.
• Basic knowledge in API.
• Advanced skills in Excel, including macros.
• English at business level.

• Industry background in retail, wholesale, or consumer goods.