Job
- Level
- Senior
- 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 will develop scalable data pipelines and analytical data models, conduct data-driven analyses, and support decision-making in controlling with modern BI and analytics solutions.
Job Technologies
Your role in the team
- Mercedes-Benz Bank, headquartered in Stuttgart, is one of the leading auto banks in Germany and is part of Mercedes-Benz Group AG. As a financing specialist, we support the sales of Mercedes-Benz vehicles through data-driven decisions and innovative analytics solutions.
- In Controlling - as a central function within the Board Department of Finance & Risk - we actively shape the bank's financial future. We are responsible for financial management and create transparency regarding business development, profitability, risks, and value drivers. Our goal is to continuously develop controlling in a data-driven manner and actively drive the digital transformation of the finance sector. To achieve this, we combine deep business understanding with modern analytics, data, and AI approaches to provide well-founded decision-making bases for management and specialist departments.
- Technical design of data-driven solutions using modern data architectures (DWH, Data Lake, Data Mesh) in close collaboration with the responsible platform teams.
- Development of scalable data pipelines (ETL/ELT) and analytical data models (Data Vault, Star Schema).
- Design and implementation of analytical data models for reporting, planning, control, and advanced analytics.
- Conducting advanced analytics and data-driven analyses to support strategic and operational decision-making.
- Identification, evaluation, and implementation of data-driven optimization and automation potentials in controlling.
- Assessment of new technologies and methods in the fields of Data Analytics, Artificial Intelligence, and Data Engineering regarding their benefits for corporate management.
- Ensuring data quality, data governance, compliance, and regulatory traceability.
- Development and enhancement of modern BI and reporting solutions (e.g., Power BI).
- Close collaboration with business units as well as translating complex technical requirements into technical and analytical solutions.
- Technical leadership of projects as well as mentoring colleagues.
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Our expectations of you
Education
- Completed degree in Computer Science, Business Informatics, Mathematics, Statistics, Data Science, or a related field.
Qualifications
- Excellent knowledge of SQL and Python.
- Solid understanding of modern data architectures, particularly Data Warehouse, Data Lake, Data Mesh, and cloud-based data platforms.
- Knowledge of modern DevOps and automation approaches (Docker, Kubernetes, CI/CD).
- Ability to translate technical requirements into robust technical solutions and data models.
- Strong interest in digital technologies, artificial intelligence, and data-driven transformation.
- Excellent German and English skills.
Experience
- Several years of professional experience as an Analytics Engineer, Data Engineer, Data Architect, or in a comparable technical data role.
- Verifiable hands-on experience in developing scalable data pipelines (ETL/ELT) as well as analytical data models (Data Vault, Star Schema, Kimball, 3NF).
- Experience with cloud technologies such as GCP or Azure.
- Experience in Data Governance, Data Lineage, Data Quality, and Regulatory Requirements.
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What we offer
- This is a permanent position.
- Exciting tasks at the intersection of controlling, data, analytics, and artificial intelligence.
- High degree of autonomy in the digital transformation of corporate governance.
- Direct collaboration with management, specialist departments, IT, and data platform teams.
- Opportunity to actively shape modern analytics, data engineering, and AI use cases.
- Working with modern technologies, cloud environments, and forward-looking data concepts.
- Responsible role with high visibility and direct impact on the development of Mercedes-Benz Bank.
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Benefits
Higher Take-Home Pay
- 🏝️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 You Will Work On
Job Locations
About 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
Senior Analytics Engineer
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
