StepStone

Mercedes-Benz AG

Jobbeschreibung
Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job-ID: MER0003CTH

We are seeking a sharp, analytical mind to unlock the potential within our workshop data and marketing leads, crafting strategies which enhance our After-Sales marketing effectiveness.

Are you a tech-savvy individual with a passion for data? Do you want to gather hands-on experience at a globally renowned company that is pushing the boundaries of automotive innovation? Would you like to be the catalyst for new ideas and innovations, driving them all the way to the highway? Then join our After-Sales IT department at Mercedes-Benz!

Who we are and what we do:

We in the Team Data, Analytics & AI aim to put our customers at the center of our work. Our responsibility is to provide high quality leads for marketing After-Sales products. We operate a productive lead engine by connecting various data sources as well as building state of the art cloud-based data processing pipelines and algorithms.

To make this happen, we work in self-organized, interdisciplinary, and agile teams with IT and business colleagues.

Things you will do:

  • Dive into workshop data and marketing leads to identify patterns and trends that reveal customer behaviors and preferences.
  • Utilize your analytical knowledge to determine which customers are most likely to engage with our leads, enhancing our marketing effectiveness.
  • Create a Proof-of-Concept: Design and develop a cutting-edge scoring system to predict customer lead acceptance, laying the groundwork for data-driven lead prioritization.
  • Communicate with markets and stakeholders, ensuring clear communication and alignment on project goals and outcomes.
  • Collaborate with cross-functional teams to define data requirements and ensure data quality.
  • Bring in your own ideas into the design of new or improved data products
  • Contribute to the creation of comprehensive, easy-to-follow technical documentation.

Skills you will develop depending on your interests:

  • Advanced Data Analysis: Gain expertise in analyzing complex datasets to extract meaningful insights that drive business decisions.
  • Predictive Modeling: Learn to construct predictive models that forecasts customer behaviors, enhancing the precision of marketing strategies.
  • Proof-of-Concept Development: Acquire the skills to develop and validate innovative concepts that can transform raw data into actionable business initiatives.
  • Stakeholder Communication: Enhance your ability to communicate complex data insights to a variety of stakeholders.
  • Project Management: Master the art of leading pilot projects, from initial concept through execution and evaluation.
  • Scalable Solutions: Learn the process of designing solutions that not only meet Proof-of-Concept goals but also integrate seamlessly into production systems for long-term use.
  • Cloud Computing Competencies: Developing proof-of-concept solutions in the cloud will help you gain experience in cloud environments and services, an essential skill in today's digital landscape.

It helps if you are interested / have some background in:

  • Analytical Skills: Strong analytical skills with the ability to collect, organize and analyze significant amounts of data with attention to detail and accuracy
  • Technical Proficiency: Proficiency in data analysis tools and programming languages such as Python, Pyspark, R, SQL or similar
  • Experience with Data Visualization: Experience in data visualization tools and techniques to effectively communicate findings to non-technical stakeholders
  • Statistical Knowledge: Understanding of statistical analysis, predictive modeling, and machine learning algorithms
  • Collaborative Spirit: Ability to work collaboratively in a team environment and with cross-functional teams
  • Experience with cloud platforms such as Microsoft Azure or Amazon Web Services (AWS) and big data processing technologies like Databricks
  • Strong English proficiency

Additional information:

It doesn't work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.

Please find the criteria of employment "here".

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: [email protected]

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

If you have any questions regarding the application process, please contact HR Services by e-mail at [email protected] or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).


  • Meal-Discounts
  • Mobile Phone possible
  • Discounts for employees possible
  • Annual profit share possible
  • Events for employees
  • Coaching
  • Flexitime possible
  • Hybrid Work possible
  • Health Benefits
  • Company Retirement
  • Mobility offers
  • Barrier-free workplace
  • Good public transport
  • Parking
  • Near-site Childcare
  • Inhouse Doctor
  • Canteen, Café
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