Job
In this role, you analyze complex procurement processes, identify optimization potentials, and create data-driven solutions using AI tools while coordinating communication between departments and developers.
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Job technologies
Your role in the team
- As a Procurement Analytics Specialist, you’re the person who turns an ambiguous business problem into a robust, data-driven solution.
- You don’t write code—but you understand the technology well enough to ask the right questions, critically evaluate proposed solutions, and independently explore data using AI-powered tools.
- You lead the process from a content perspective: from identifying the problem through analysis to making a recommendation.
- You can expect the following responsibilities:
- Independently lead analysis and optimization projects in procurement—from identifying the problem to developing a data-driven solution.
- Identification and assessment of optimization potential in procurement processes through qualitative and quantitative analysis.
- Structured problem decomposition: Trace business symptoms back to their root causes—whether technical, process-related, or organizational.
- Coordination between business departments and the development team – refining requirements, evaluating solution approaches, and supporting implementation.
- Independent data exploration with AI-powered tools – understand datasets, check plausibility, and derive recommendations for action.
- Prepare results and recommendations for management and business units—clear, robust, and ready for decision-making.
Our expectations of you
Education
- Completed degree in business information systems, business administration, economics, computer science, or a comparable field of study.
Qualifications
- Ideally, you bring the following:
- Demonstrated ability to break down complex problems systematically and solve them using data.
- Technical fundamentals: trace data flows, read SQL queries, and understand data architectures.
- Confident use of AI-powered analytics tools for independent data exploration and hypothesis testing.
- A basic understanding of data architectures and cloud platforms (e.g., Azure) is an advantage.
- Fluent German and very good English skills.
Experience
- Several years of professional experience in management consulting, process analysis, project management, or a comparable analytical role.
- Experience working with development teams and technical stakeholders.
What we offer
- This is a permanent position.
Benefits
Health, fitness & fun
Food & drink
Topics you will work on
Job locations
About your employer
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
- 1926
- Established Company
- Onsite, Hybrid
- Vehicle Manufacturing, Supplier · Industry, Production
Employer reviews
- Team culture
- 4.3
- Engineering
- 4.0
- Career growth
- 4.8
- Working conditions
- 4.8
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