Data Analytics and Data Catalog Intern

What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world. DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment – to our business, to each other and to our global communities. DHL is dedicated to being a great place to work.

About the role

The Data Analytics & Data Catalog Intern will develop and improve Power BI reporting while helping establish the Local Data Catalog as the team's data lake comes online. The role combines operational data analysis and visualization with documentation, classification, metadata management, and stakeholder support.

Responsibilities

• Analyze, cleanse, validate, and reconcile operational data to support accurate reporting and reliable insights.
• Develop and maintain Power BI reports and dashboards that turn operational data into actionable information.
• Gather and document business requirements, reporting logic, definitions, and acceptance criteria with stakeholders.
• Support user testing, issue resolution, and quality and performance improvements for analytics solutions.
• Inventory data assets and document their purpose, source, owner, refresh schedule, and use as the local data lake is implemented.
• Establish initial Local Data Catalog content, including business definitions, lineage, quality considerations, and data classifications.
• Apply consistent naming, metadata, and classification standards to improve data discoverability, governance, and reuse.
• Maintain business and technical documentation for datasets, transformations, reports, and recurring analytics processes.
• Communicate findings and project progress to technical and non-technical partners and support related Service Quality initiatives.

Requirements

• Currently pursuing a bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Engineering, or a related field.
• Working knowledge of Power BI; Power Query and DAX experience is desirable.
• Foundational SQL and relational data knowledge; Python or scripting experience is a plus.
• Proficient with Microsoft Excel and able to profile and reconcile datasets.
• Strong attention to detail and clear business and technical documentation skills.
• Interest in data governance and cataloging concepts, including metadata, lineage, ownership, quality, and classification.
• Strong analytical, problem-solving, and stakeholder communication skills.
• Available full time for three to six months and willing to relocate for this onsite internship in Erlanger, Kentucky.