Daimler Truck AG
Daimler Truck AG
Daimler Truck AG je globalno avtomobilsko in transportno podjetje, osredotočeno na gospodarska vozila in rešitve mobilnosti. Njegov portfelj vključuje lahka, srednje težka in težka tovorna vozila, mestne in medkrajevne avtobuse, turistične avtobuse ter šasije za avtobuse, ki jih dopolnjujejo prilagojene finančne storitve. Z več kot 100.000 zaposlenimi in več kot 40 proizvodnimi lokacijami po vsem svetu podjetje združuje proizvodnjo velikega obsega z razvojem digitalizacije, avtonomne vožnje in tehnologij z nevtralnimi emisijami CO₂ v logističnem in transportnem sektorju.

Data Analytics and Reporting Intern

Join Daimler Truck on Service24H reporting and big data projects, contributing to analytics and global reporting. Work with machine learning, LLMs, Power BI and forecasting solutions.

Opis

  • Contribute to big data analytics projects involving machine learning and LLMs, alongside global reporting with Power BI and Data Mesh.
  • Assist with project acceptance and quality assurance checks.
  • Prepare project status reports and presentations for the team and management.
  • Manage day-to-day work in data analytics, reporting and forecasting independently.
  • Improve existing reports independently to make results more transparent.

Zahteve

  • Currently pursuing a degree in data analytics, business information systems, computer science, business administration or a related field.
  • Some experience with tools such as Power BI, SQL and Python is an advantage.
  • Interest in emerging technologies such as AI, machine learning, Data Mesh and generative AI, as well as in working with numbers and interpreting their business relevance.
  • Strong commitment, analytical ability and a structured, self-directed approach to work.
  • Collaborative attitude and excellent communication skills.
  • Very good German and English proficiency.
  • Provide a current enrollment certificate showing your semester of study.
  • Provide a current transcript of records.
  • Provide relevant certificates and references.
  • Provide proof of the standard period of study.
  • For a required or combined internship, provide proof that the internship is mandatory.
  • Applicants from outside the European Economic Area may need a residence or work permit.

Ugodnosti

  • A varied, engaging role in a dynamic setting, with scope to shape processes.
  • The chance to contribute independently to projects and share your ideas.
  • An open and supportive workplace.
  • Guidance and active collaboration with cross-functional project teams.
  • Competitive pay.
  • Flexible working hours.
  • Remote work options.
  • Exposure to the working environment of a leading commercial vehicle manufacturer.
  • Join exchange and networking events run by the cross-location Students @ Daimler Truck network.