Data Analyst - Agentive KI & Autonome Systeme (d/m/f/x)

At the Mercedes-Benz company health insurance fund, we are shaping the future of digital health care, especially for the employees of the group-and you can be a decisive part of it!

BE AWARE that you have to proof your excellent German language skills (existing C1-Level), because within the German health insurance business the official language is German by law. Please send your application in German only!

We are looking for a visionary and experienced Data Analyst (m/f/d) with a strong passion for Agentive Artificial Intelligence and autonomous systems. In this key role, you design and operate the technological and procedural basis of our AI ecosystem. You combine deep technical data engineering with a growing understanding of the processes in a statutory health insurance fund. The trust of our insureds and employees comes first\:
In particular, you ensure that data regarding your criticality is integrated in accordance with the high regulatory and ethical standards. Your expertise will be critical to building trusted AI systems, thereby ensuring the personal advice of people for people in the health environment despite cost pressure and shortage of skilled workers in the future.

These challenges come to you, among other things\:

Technical data integration & connectivity

• sound coding skills, particularly in Python, with proven experience in the development, implementation and further development of AI-based solutions and the responsible assumption of technical and specialist development tasks

• API & database management\: Independently designing and implementing technical connections from various data sources (REST APIs, SQL databases, cloud storage) to our analysis and AI system

• Pipeline architecture\: Setting up and maintaining scalable data flows (ETL/ELT) to ensure high-performance and real-time data availability for AI assistance systems

• Interface governance\: Ensure technical interoperability between BKK (Bitmarck 21c | ng) stock systems and modern AI infrastructures

Process analysis & workflow optimization\:

• Domain understanding\: Active immersion in specialist units (e.g. nursing care consultation, sickness benefit case management) to develop a deep understanding of how knowledge arises and how processes and outcomes are documented

• Data process mapping\: Analysis of the discrepancy between real work procedures and the mapping in the data to improve the data quality at the source

• Business transformation\: Identification of optimization potential in specialist department workflows based on your data analyzes. You actively communicate these improvements to the process managers and accompany their implementation

AI Ecosystem & Smart Operations\:

• AI-enabling\: Supporting data scientists by providing "ready-to-use" data records for agent optimization (semantic context) and fine tuning

• Engineering prompt\: Translation of functional requirements into precise prompts to make the AI-supported use cases intuitive and compliant

• Monitoring & feedback\: Analysis of anonymous quantitative user behavior and feedback to continuously adapt the CIS system to the actual needs of customer advisors

• At the Mercedes-Benz company health insurance fund, we are shaping the future of digital health care, especially for the employees of the group-and you can be a decisive part of it! If you feel addressed, we look forward to your application and to having you on board as a team soon.