Data Analyst Internship in After-Sales

vor 3 Wochen

Stuttgart, Baden-Württemberg, Deutschland Mercedes-Benz Vollzeit
Position Overview

Join our dynamic team at Mercedes-Benz AG as an intern in the After-Sales Data & AI Lab. This role is designed for individuals with a keen analytical mindset eager to explore and interpret workshop data and marketing leads.

Key Responsibilities

As an intern, you will:

  • Analyze workshop data and marketing leads to uncover trends and customer preferences.
  • Apply your analytical skills to identify high-potential customers, enhancing marketing strategies.
  • Develop a Proof-of-Concept for a scoring system aimed at predicting customer engagement with leads.
  • Facilitate communication with stakeholders to ensure alignment on project objectives.
  • Collaborate with interdisciplinary teams to define data requirements and maintain data integrity.
  • Contribute innovative ideas for the development of new data products.
  • Assist in creating clear and comprehensive technical documentation.
Skills Development

This internship offers the opportunity to enhance your skills in:

  • Advanced Data Analysis: Gain proficiency in extracting insights from complex datasets.
  • Predictive Modeling: Learn to build models that forecast customer behavior.
  • Proof-of-Concept Development: Acquire skills in transforming data into actionable business strategies.
  • Stakeholder Communication: Improve your ability to convey complex data insights effectively.
  • Project Management: Experience leading projects from concept to execution.
  • Scalable Solutions: Learn to design solutions that integrate into production systems.
  • Cloud Computing: Develop competencies in cloud environments and services.
Qualifications

Ideal candidates will possess:

  • Strong analytical skills with attention to detail.
  • Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
  • Experience with data visualization techniques.
  • Understanding of statistical analysis and machine learning algorithms.
  • Ability to work collaboratively in a team environment.
  • Familiarity with cloud platforms and big data technologies.
  • Strong command of the English language.
Additional Information

We are committed to providing a supportive work environment with various benefits, including flexible working hours and opportunities for professional development.

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