Logistics Data Analyst Intern

Vor 6 Tagen


Hamburg, Hamburg, Deutschland Nordex Group Vollzeit

About Nordex Group

Nordex Group is a leading global manufacturer of wind turbines and a provider of comprehensive solutions for the wind energy sector. We are committed to driving the transition towards sustainable energy by developing innovative and reliable wind power solutions.

Your Role

We are seeking a highly motivated and detail-oriented Logistics Data Analyst Intern to join our team. This internship offers a unique opportunity to gain hands-on experience in logistics and supply chain management while leveraging your analytical skills to optimize our operations.

Responsibilities
  • Assist in the analysis of logistics data to identify trends, anomalies, and areas for improvement.
  • Develop and maintain complex Excel spreadsheets and macros to streamline data processing and reporting.
  • Support the logistics tender team in daily operations.
  • Create and automate reports using Excel and other data analysis tools (Power BI) to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to gather data and insights for various logistics projects.
  • Contribute to process improvement initiatives by identifying inefficiencies and proposing data-driven solutions.
  • Assist in the preparation of presentations and reports for management review.
Your Profile
  • Currently pursuing a degree in Logistics, Supply Chain Management, Business Analytics, Data Science, or a related field.
  • Strong proficiency in Microsoft Excel, including advanced functions, formulas, pivot tables, and macros.
  • Experience with data analytics tools and techniques (Power BI).
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Strong communication skills, both written and verbal.
  • Highly organized with the ability to manage multiple tasks and deadlines.
  • Familiarity with logistics and supply chain management concepts.
  • Experience with SQL, VBA, or other programming languages.

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