Data Analyst Intern

Position Summary, Responsibilities and Expectations:

• Engage with business users across global teams to understand business needs, reporting requirements, and operational challenges.
• Gather, clarify, and document business requirements, including KPIs, reporting logic, data definitions, and expected outcomes.
• Translate business requests into structured, actionable reporting and analysis tasks with clear priorities and deliverables.
• Support the development, maintenance, and improvement of dashboards, reports, and analytical solutions using Power BI, Excel, and other BI tools.
• Analyze business data to identify trends, exceptions, performance gaps, and opportunities for better decision-making.
• Perform data validation, review reporting accuracy, and support user acceptance testing (UAT) to ensure solutions meet business expectations.
• Collaborate with cross-functional stakeholders across Supply Chain, Procurement, Finance, Sales, and Operations, providing progress updates and following up on action items.
• Identify repetitive manual processes and opportunities to improve reporting efficiency through automation and workflow optimization.
• Explore and support practical AI/LLM and automation solutions to streamline business processes, enhance productivity, and reduce manual effort. Essential Skills and Experience:
• Currently a 3rd- or 4th-year university student majoring in Business, Information Systems, Data Analytics, Finance, Supply Chain, Computer Science, or a related field.
• Strong communication and interpersonal skills, with the ability to engage users, ask relevant questions, and understand business needs.
• Good written and verbal English communication skills for collaboration with international teams.
• Strong analytical thinking, problem-solving abilities, and a structured approach to understanding business challenges.
• Ability to organize information and translate business requirements into clear, actionable tasks.
• Basic proficiency in Microsoft Excel and familiarity with data analysis, reporting, or dashboard concepts.
• Detail-oriented, with a focus on data accuracy, consistency, and quality.
• Proactive, well-organized, and able to manage multiple tasks while collaborating effectively with team members.
• Curious, adaptable, and eager to learn new technologies, business processes, AI, and automation tools. Preferred but not required: Familiarity with Power BI, SQL, Microsoft Fabric, Python, Power Automate, or AI/LLM applications through coursework, personal projects, or internships.