About the role
AI summarisedThe Data Analyst Intern will support business reporting and data quality initiatives while driving process automation across the Asia Pacific region. Working within the Operations & Automation team, the intern will manage large datasets, enhance Power BI dashboards, and develop Python scripts to streamline data workflows. Collaboration with cross-functional teams will be key to improving order fulfillment and operational efficiency.
IndustrialOnsiteGeneral Business
Key Responsibilities
- Extract, transform, and load data from multiple sources to update critical business reports and dashboards
- Analyze Asia Pacific Customer Backlog (CBL) data and work with the Sales Logistics team to ensure data accuracy
- Perform data validation, identify root causes, and resolve issues to improve order fulfillment and reduce operational-related claims
- Write and optimize advanced SQL queries (CTEs, Window Functions, JOINs) for data extraction and transformation
- Extract and interpret SAP reports to support operational processes
- Maintain and improve existing Power BI dashboards, including SQL script enhancements and DAX optimizations across O2C topics
- Develop Python scripts to automate manual data transformation activities
- Provide technical support and troubleshoot dashboard and data-related issues
- Work with central teams and stakeholders to support sales and operational objectives
- Handle multiple projects simultaneously and ensure timely delivery of reporting and analysis outputs
- Support stakeholders in defining project scope, objectives, and deliverables
Requirements
- Available full-time for 7 months (01.06.2026 – 29.01.2027)
- Pursuing a degree in Computer Science, Data Analytics, Business Analytics, Supply Chain, or a related technical discipline
- Strong understanding of operations; proactive and self-motivated
- Excellent time management, organization, and communication skills
- Detail-oriented with high accuracy in task execution
- Able to work well under pressure in a fast-paced, dynamic environment
- Strong skills in MS Excel (Macros preferred)
- Experience with Power BI or other BI tools, SQL, and Python is required