Data Analytics & Automation Specialist

Job Responsibilities

• Build efficient and scalable data structures.
• Develop and manage compliance‑compliant applications (using Python, SQL, VBA and the MS Power Platform) to elevate sales controlling and ensure the highest data quality.
• Analyze complex dealer, customer and campaign data to predict future customer behavior and preferences.
• Develop custom forecasting and predictive models to make trends visible early and identify concrete growth and optimization opportunities.
• Support the digital transformation in Sales & Marketing.
• Analyze existing business processes, identify automation potential and design modern solutions – from establishing automated data flows to digitizing entire processes, for example through the targeted use of AI technologies.
• Translate raw data into actionable business strategies.
• Uncover new market potential in financing, leasing and insurance businesses, define tailored target audiences for marketing campaigns and support strategic growth initiatives from concept to implementation.
• Provide insights that form the basis for business decisions.
• Create meaningful management reports and present recommendations directly to senior management.
• Conduct data‑driven competitive analyses, evaluate market position and performance against industry benchmarks, and derive strategic actions.

Requirements

• University degree in (business) informatics, computer science, economics with a quantitative focus or a comparable field of study.
• Several years of relevant professional experience in quantitative data analysis, data science or market analysis, and experience in Sales & Marketing – preferably in the automotive sector.
• Strong analytical and communication skills with the ability to think critically and creatively.
• Expert knowledge of MS Office applications (especially Excel including VBA, PowerPoint) and the MS Power Platform.
• Very good programming and database skills in Python and SQL, and experience with Google Dataform & BigQuery.
• Extensive knowledge in Artificial Intelligence; practical experience with AI implementation projects is a strong advantage.
• Excellent written and spoken German and English skills.