Internship in Data Analytics and Reporting

Daimler Truck AG

. Contribute to big data projects in the areas of data analytics using machine learning and LLMs, as well as global reporting with Power BI and Data Mesh .

Posted 10/14/2026internshipLeinfelden-Echterdingen • GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong capabilities in data analytics, reporting, and forecasting, with proficiency in tools such as Power BI and SQL. Possesses excellent communication skills and a structured approach to independent work, complemented by a commitment to emerging technologies like AI and ML.

Highest-signal resume keywords

Data AnalyticsPower BISQLPythonMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsPower BISQLPythonMachine LearningData MeshForecastingReportingQuality AssuranceData Visualization

Soft Skills

Analytical SkillsCommunication SkillsTeamworkStructured ApproachCommitment

Tools & Technologies

Power BISQLPythonData MeshMachine Learning

Certifications & Qualifications

Certificate of EnrollmentTranscript of RecordsRelevant CertificatesProof of Standard Period of StudyProof of Mandatory Internship Requirement

Industry Keywords

Data AnalyticsBusiness Information SystemsComputer ScienceBusiness AdministrationEmerging TechnologiesAIMLGenAIGlobal ReportingResidence Permit

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Contribute to big data projects in the areas of data analytics using machine learning and LLMs, as well as global reporting with Power BI and Data Mesh
Support project acceptance activities and quality assurance checks
Prepare status reports and presentations for the project team and management
Independently handle day-to-day tasks in data analytics, reporting, and forecasting
Independently further develop existing reports to provide greater transparency into results

Requirements

What you’ll need

Currently pursuing a degree in data analytics, business information systems, computer science, business administration, or a related field
Initial experience with data analysis tools such as Power BI, SQL, and Python is an advantage
Interest in emerging technologies such as AI, ML, Data Mesh, and GenAI, as well as in working with numbers and understanding their business significance
High level of commitment, strong analytical skills, and a structured, independent approach to work
Ability to work in a team and excellent communication skills
Very good German and English skills
Current certificate of enrollment stating the current semester of study
Current transcript of records
Relevant certificates and references
Proof of the standard period of study
For a mandatory or combined internship: proof of the mandatory internship requirement
Applicants from countries outside the European Economic Area may require a residence permit or work permit

Benefits

Comp & perks

An exciting and varied role in a dynamic environment with opportunities to shape and influence processes
The opportunity to contribute independently to projects and bring your ideas to the table
An open and supportive working environment
Support and active collaboration in cross-functional project teams
Attractive compensation
Flexible working hours
The option to work remotely
Insights into the working environment of a leading commercial vehicle manufacturer
Participation in and contribution to exciting exchange and networking events organized by the cross-location Students @ Daimler Truck network