After-Sales Data Analyst Internship

vor 3 Wochen

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

Join our dynamic team at Mercedes-Benz as a Data Analyst/Data Scientist Intern in the After-Sales sector. This role offers a unique opportunity to delve into workshop data and marketing insights, enhancing our After-Sales marketing strategies.

About Us

At Mercedes-Benz, we prioritize our customers by leveraging data to drive our initiatives. Our Data, Analytics & AI team is dedicated to generating high-quality leads for After-Sales products through innovative data processing and analysis.

Your Responsibilities
  • Analyze workshop data and marketing leads to uncover trends and customer preferences.
  • Apply analytical skills to identify potential customer engagement, improving marketing outcomes.
  • Develop a Proof-of-Concept for a scoring system to predict customer lead acceptance.
  • Engage with stakeholders to ensure alignment on project objectives and results.
  • Collaborate with interdisciplinary teams to define data needs and maintain data integrity.
  • Contribute innovative ideas for the development of new data products.
  • Assist in creating clear and comprehensive technical documentation.
Skills Development

Throughout this internship, you will have the opportunity to enhance your skills in:

  • Advanced Data Analysis: Master the ability to analyze complex datasets for actionable insights.
  • Predictive Modeling: Learn to build models that forecast customer behavior, refining marketing strategies.
  • Proof-of-Concept Development: Gain experience in transforming raw data into practical business solutions.
  • Stakeholder Communication: Improve your skills in conveying complex data insights to diverse audiences.
  • Project Management: Develop your ability to lead projects from conception to execution.
  • Scalable Solutions: Understand how to design solutions that integrate seamlessly into existing systems.
  • Cloud Computing: Acquire knowledge in developing solutions within cloud environments.
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 to present findings effectively.
  • Understanding of statistical analysis and machine learning concepts.
  • A collaborative mindset, able to work within cross-functional teams.
  • Familiarity with cloud platforms and big data technologies.
  • Strong proficiency in English.
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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