Job Posting Title
Data Analyst – Quality Engineering (m/f/d)
Job Description Summary
ENGLISH:
As a Data Analyst - Quality Engineering (m/f/d), you will shape the development of a data-driven quality management system and make a significant contribution to improving process and product quality. By analyzing quality, process, and production data, you will identify optimization potential, detect quality risks early, and create the basis for sound decisions. You will drive the application of statistical methods, the digitalization of quality processes, and the introduction of modern analysis and control concepts. In close collaboration with the production, engineering, and quality departments, you will make a substantial contribution to the sustainable improvement of process and product quality.
ENGLISH:
As a Data Analyst - Quality Engineering (m/f/d), you will play a key role in expanding a data-driven quality management approach and significantly contribute to improving process and product quality. By analyzing quality, process, and production data, you will identify improvement opportunities, detect quality risks at an early stage, and provide the foundation for informed decision-making. You will drive the application of statistical methods, the digitalization of quality processes, and the implementation of modern analytics and process control concepts. Working closely with manufacturing, engineering, and quality teams, you will make a significant contribution to the sustainable improvement of process and product quality.
Job Description:
GERMAN:
- Introduction, further development and standardization of Statistical Process Control (SPC) for the preventive control of production and quality processes.
- Analysis of quality, process and production data for the early identification of risks, trends and deviations.
- Development and implementation of early warning systems and predictive quality approaches for critical products and processes.
- Monitoring and evaluation of process capability indicators (Cp, Cpk, Pp, Ppk) and derivation of sustainable improvement measures.
- Consolidation, structuring and ensuring the quality of data from production, quality, ERP and MES systems.
- Creation of statistical analyses, KPI systems, dashboards and management reports for data-driven decision-making.
- Leading and supporting digitalization, continuous improvement and Six Sigma initiatives to increase quality and process efficiency.
- Consulting and training for departments and managers in statistical methods, quality tools and data-driven decisions.
ENGLISH:
- Lead the implementation, standardization, and continuous improvement of Statistical Process Control (SPC) within manufacturing and quality processes.
- Analyze quality, process, and production data to identify risks, trends, and deviations at an early stage.
- Develop and implement early warning systems and predictive quality approaches for critical products and processes.
- Monitor and evaluate process capability indicators (Cp, Cpk, Pp, Ppk) and drive sustainable improvement actions.
- Consolidate, structure, and ensure the quality of data from production, quality, ERP, MES, and related business systems.
- Create statistical analyses, KPI frameworks, dashboards, and management reports to support data-driven decision making.
- Lead and support digitalization, continuous improvement, and Six Sigma initiatives to enhance quality performance and operational efficiency.
- Provide expert guidance and training to cross-functional teams and leaders on statistical methods, quality tools, and data-driven decision making.
Required Skills and Education
GERMAN:
- Completed technical, scientific or industrial engineering training or studies or further education to become a state-certified technician.
- Several years of professional experience in quality management, process analysis, or a manufacturing industrial environment.
- Sound knowledge of statistical methods as well as practical experience with SPC and process capability analyses.
- Experience in analyzing complex quality and production data, as well as in handling KPI systems and reporting tools.
- Knowledge of Automotive Quality Core Tools (IATF 16949, VDA) and ideally Six Sigma, Q-DAS, ERP and MES systems.
ENGLISH:
- Degree in Engineering, Natural Sciences, Industrial Engineering, or equivalent technical qualification.
- Several years of experience in quality management, process analysis, or a manufacturing environment.
- Strong knowledge of statistical methods with hands-on experience in SPC and process capability analysis.
- Proven ability to analyze complex quality and production data and develop KPI-based performance management systems.
- Knowledge of Automotive Quality Core Tools (IATF 16949, VDA); Six Sigma certification, Q-DAS, ERP, and MES experience are advantageous.
About Dauch:
Dauch Corporation is a premier Driveline and Metal Forming supplier serving the global automotive industry with a powertrain-agnostic product portfolio that supports electric, hybrid, and internal combustion vehicles. The company is headquartered in Detroit, MI, with operations that span 24 countries and more than 175 locations. Formed through the acquisition of Dowlais Group plc and its subsidiaries - GKN Automotive and GKN Powder Metallurgy, Dauch units deep engineering roots with global manufacturing capabilities and an entrepreneurial spirit to move mobility forward. Visit to learn more.