Job Description

Working at Freudenberg: We will wow your world!

Responsibilities:

Enterprise Semantic Modeling: Develop and manage scalable enterprise data products and semantic models rather than building individual reports.
Business Logic & KPI Implementation: Translate complex business processes and stakeholder requirements into reusable business logic and KPIs.
Cross-Functional Architecture Alignment: Ensure consistent reporting, analytics, and AI solutions by following data standards and architecture principles.
Performance Optimization: Continuously optimize semantic models and data products for scalability, performance, and fast query execution.
Governance & Lifecycle Management: Maintain trust in data through high data quality, consistent naming, good documentation, and KPI certification.
Data & AI Team Collaboration: Work closely with Data Engineers on data pipelines and with AI teams to create AI-ready semantic models.
Self-Service Enablement: Empower business users with reusable semantic assets for self-service analytics.

Qualifications:

Education & Experience: Bachelor’s degree in an IT-related major (e.g., Computer Science, Data Science, Information Technology, or Information Systems) paired with 3 to 5 years of professional working experience in a data environment.
Core Modeling Expertise: Strong, proven experience in dimensional data modeling and designing enterprise-level semantic layers (e.g., Semantic Data Engineer, Analytics Engineer, or Modeling-focused BI Engineer).
Advanced Languages: Advanced knowledge of DAX (Measures, Evaluation Context, Performance tuning) and strong SQL skills for data manipulation and querying.
Microsoft Ecosystem Proficiency: Deep hands-on experience with Microsoft Fabric, Power BI Semantic Models, and modern Microsoft data technologies.
Modern Data Architecture: Strong understanding of Data Warehouse, Lakehouse, and Data Product architecture, with basic Python skills to support data engineering concepts.
Business & KPI Acumen: Translates complex business requirements and data concepts into technical models.
Stakeholder Communication: Strong communication and collaboration skills, with the ability to connect business and technical teams.
Engineering Mindset: A structured and quality-focused professional dedicated to standardization, reusable solutions, and continuous learning.

‎ ‎

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

Klüber Lubrication (Shanghai) Co. Ltd.