Senior Executive, Business Intelligence

The Executive, Business Intelligence SEAO will support with 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 organization.

This role centers on backend data management and project execution, ensuring data availability, accuracy, and reliability across multiple systems and markets. The role will also assist in the development and maintenance of business intelligence dashboards and reports for regional stakeholders.

We are looking for a candidate who is detail-oriented, technically strong and business-savvy, with experience managing data pieplines, integrating datasets and enhanching data quality, while also being adept at developing clear and actionable BI reports.

Task 1: 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.

Task 2: Support the building and validation of data elements that reflect business logic, ensuring they are accurate, consistent, and ready for analytical use.

Task 3: Perform comprehensive, ongoing validation of data against source systems to ensure data accuracy and alignment with business logic.

Task 4: Develop and maintain detailed data glossaries documenting each data point including its definition, source and intended use.

Task 5: Support business users to resolve BI-related issues and ensure minimal downtime.

· Conduct a first level check with business users to understand nature of the issue and identify root causes.

· Work closely with Global BI team to resolve issues as required.

Task 6: Lead the development and implementation of robust BI reports based on business requirements, in accordance with timelines

· Review business operations and identify areas for improvement that can be bridged through BI.

· Gather requirements from business users.

· Develop dashboards based on business requirements and best practices.

· Perform testing to ensure data accuracy and functionality as per requirement.

· Conduct training for the end users to enable them to fully utilize the reports/ dashboards.

Education: Bachelor's degree in Computer Science, Data Analytics, Business, or related fields

Professional:

• 1-2 years in business intelligence, analytics, or data engineering and/or business Intelligence field

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

IT Skills:

• Power BI

• Professional in DAX (using DAX studio, Tabular Editor, Power BI)

• Strong coding skills (SQL, 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

Language Skills:

• English (Business Level)