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

Data Analyst - Agentive KI & Autonome Systeme (d/m/f/x) | Mercedes-Benz > Karriere > Jobsuche > Stellenausschreibungen DE EN HU Anbieter/DatenschutzUnternehmenTechnologieNachhaltigkeitKarriereInvestorenPresse ProdukteKarriereJobsucheData Analyst - Agentive KI & Autonome Systeme (d/m/f/x)Tätigkeitsbereich:IT/TelekommunikationFachabteilung:AI/DigitalizationGesellschaft:Mercedes-Benz Group AGStandort:Stuttgart, Mercedesstr. 132 Startdatum:01.11.2026Veröffentlichungsdatum:06.08.2026Stellennummer:MER00045VDArbeitszeit:Vollzeit (teilzeitgeeignet) BewerbenAufgabenAt 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 & connectivitysound 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 tasksAPI & database management: Independently designing and implementing technical connections from various data sources (REST APIs, SQL databases, cloud storage) to our analysis and AI systemPipeline 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 documentedData process mapping: Analysis of the discrepancy between real work procedures and the mapping in the data to improve the data quality at the sourceBusiness 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 implementationAI Ecosystem & Smart Operations:AI-enabling: Supporting data scientists by providing "ready-to-use" data records for agent optimization (semantic context) and fine tuningEngineering prompt: Translation of functional requirements into precise prompts to make the AI-supported use cases intuitive and compliantMonitoring & feedback: Analysis of anonymous quantitative user behavior and feedback to continuously adapt the CIS system to the actual needs of customer advisorsAt 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.QualifikationenFor this position, we are looking for a personality that understands code but can also speak the language of the specialist units of our .Ideally, you have the following:Master's degree in business informatics, data science, computer science or a comparable qualification with several years of professional experienceConfident using Python (Pandas, PySpark) to understand and further develop existing solutions, data manipulation and pipeline controlTech Stack & experience: Extensive experience in connecting APIs (JSON, REST) and querying complex database structures (SQL)Experience in process modeling (e.g. BPMN) or performing requirement analyzes is desirableMethodological skills: You have the ability to translate complex operational processes into logical data models and derive specific efficiency gains from them Personal skills:Communication in German language (proof of C1-Level): Business-level demeanor in order to convincingly represent technical optimization proposals to specialist stakeholders and management. Understanding of critical regulatory requirements available only in German language (SGB).Please send your application in German only to showcase your German language skills!Additional Information:This is a permanent/temporary position.We look forward to receiving your online application with a resume, cover letter, and certificates. Please do not forget to mark your documents as "relevant for this application" in the online form and note the maximum file size of 5 MB.Severely disabled applicants and applicants with equivalent status are welcome! The representation for severely disabled employees (sbv-zentrale@mercedes-benz.com) will gladly support you in the application process.People Solutions will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).Benefits Coaching Hybrides Arbeiten möglich Mit­arbeiter­rabatte möglich Gesund­heits­maß­nahmen Mobilitäts­angebote Mit­arbeiter­handy möglich Mit­arbeiter Events Essens­zulagen Mit­arbeiter­beteili­gung möglich Betrieb­liche Alters­ver­sorgung Flexible Arbeits­zeit möglich Lebens­langes Lernen Park­platz Kantine, Café Gute An­bindung Barriere­frei­heit Betriebs­arzt KontaktMercedes-Benz Group AGMercedesstr. 13270327 StuttgartAndreas Pohl E-Mail: andreas.po.pohl@mercedes-benz.com BewerbenDie Mercedes-Benz Group.Die Mercedes-Benz Group AG (ehemals Daimler AG) ist eines der erfolgreichsten Automobilunternehmen der Welt. Mit der Mercedes-Benz AG gehören wir zu den größten Anbietern von Premium- und Luxus-Pkw und Vans. 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