Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze data, develop scalable pipelines, and implement AI-driven solutions to optimize digital healthcare services for our members and improve processes.
Job Technologies
Your role in the team
- At Mercedes-Benz Betriebskrankenkasse, we are shaping the future of digital healthcare, especially for the employees of the corporation – and you can be a key part of it!
- 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 will shape and operate the technological and procedural foundation of our AI ecosystem. You will combine deep technical Data Engineering with a growing understanding of the processes within a statutory health insurance fund. Trust of our insured and employees is paramount: you will particularly ensure that data regarding their criticality is integrated in accordance with high regulatory and ethical standards. Your expertise will be crucial in designing trustworthy AI systems, thereby ensuring personalized human-to-human consultation in the healthcare environment despite cost pressures and a shortage of skilled professionals.
- Technical Data Integration & Connectivity
- Solid coding skills, particularly in Python, with proven experience in the development, implementation, and further development of AI-based solutions, as well as taking responsible technical and professional development tasks.
- API & Database Management: Independent design and implementation of technical integrations of various data sources (REST APIs, SQL databases, cloud storage) into our analytics and AI system.
- Pipeline architecture: design and maintenance of scalable data flows (ETL/ELT) to ensure high-performance and real-time data availability for AI assistance systems.
- Interface Governance: Ensuring technical interoperability between the existing systems of BKK (Bitmarck 21c|ng) and modern AI infrastructures.
- Process Analysis & Workflow Optimization:
- Domain understanding: Actively immersing oneself in the professional areas (e.g., nursing consulting, sickness benefit case management) to develop a deep understanding of how knowledge is generated and how processes and outcomes are documented.
- Data Process Mapping: Analysis of the discrepancy between actual workflows and their representation in the data to improve data quality at the source.
- Business Transformation: Identification of optimization potentials in departmental workflows based on your data analyses. You actively communicate these improvements to the process owners and support their implementation.
- AI Ecosystem & Smart Operations:
- AI Enabling: Supporting Data Scientists by providing "ready-to-use" datasets for agent optimization (semantic context) and fine-tuning.
- Prompt Engineering: Translating technical requirements into precise prompts to design AI-supported use cases intuitively and compliantly.
- Monitoring & Feedback: Analysis of anonymous quantitative user behavior and feedback to continuously adapt the KISystem to the actual needs of customer advisors.
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Our expectations of you
Education
- Master's degree in Business Informatics, Data Science, Computer Science, or a comparable qualification with several years of professional experience.
Qualifications
- For this position, we are looking for a personality who understands code but can also speak the language of the business units.
- Ideally, you bring the following:
- Methodological competence: You have the ability to translate complex operational processes into logical data models and derive concrete efficiency gains from them.
- Personal competencies:
- Communication: Confident negotiation skills to convincingly present technical optimization proposals to technical stakeholders and management.
Experience
- Proficient in Python (Pandas, PySpark) for understanding and enhancing existing solutions, as well as for data manipulation and pipeline control. Tech Stack & Experience: Solid experience in API integration (JSON, REST) and querying complex database structures (SQL).
- Experience in process modeling (e.g., BPMN) or conducting requirements analysis is desirable.
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What we offer
- We offer you more than just an employment relationship. Additionally, you can expect from us:
- Above-tariff remuneration
- Company pension scheme
- Vacation and Christmas bonuses
- Annual profit sharing depending on business success
- On-site canteen
- Attractive annual cars available for purchase and leasing.
- Employer subsidy for asset-building benefits
- Flexible working hours with flextime and the possibility of remote work.
- Regular health days with health checks as well as free vaccinations
- In-house company health insurance fund with attractive health promotion
- Paid leave for important family events (e.g., wedding)
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Benefits
More net
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Mercedes - Benz AG
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.
Description
- Founding year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)4.4
Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Data Analyst Agentive AI & Autonomous Systems
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
