onsite
PLM Engineering Data Analyst - Rheinmetall AG
Data Analyst
Analyze and optimize product lifecycle data using PLM systems, SQL, and Python to support engineering decisions and improve data quality.
About the role
Key Responsibilities
- Extract, transform, and load engineering data from PLM and SAP systems into analytical models.
- Develop SQL queries and Python scripts to cleanse, validate, and enrich data sets.
- Create dashboards and visualizations in Excel and BI tools to communicate insights to cross‑functional teams.
- Collaborate with engineering, quality, and supply‑chain stakeholders to define data requirements and improve data governance.
- Document data processes, maintain metadata repositories, and support audit activities.
Requirements
- Strong experience with PLM platforms and SAP data structures.
- Proficiency in SQL and Python for data manipulation and automation.
- Advanced Excel skills, including pivot tables, macros, and VBA.
- Ability to translate complex engineering data into clear visual stories.
- Excellent communication skills and a collaborative mindset.
Skills
data analysissqlpythonsapexcel