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Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Develop and deliver data analytics solutions that help us understand, monitor and improve product and process performance
- Act as a Data Product Owner for selected analytics solutions and data products
- Translate business and process needs into clear analytical requirements
- Guide end-to-end delivery from problem framing to implementation and continuous improvement
- Ensure that solutions are aligned with global data, platform and governance standards
- Combine strong analytical expertise with a solid understanding of manufacturing processes, IT/OT systems and data engineering fundamentals
- Work hands-on where needed, while also providing technical guidance to colleagues and coordinating cross-functional teams to solve complex, high-impact problems
- Own and drive selected data products and analytics solutions with focus on CGM 2.0 (DOT) across their lifecycle
- Work closely with manufacturing, quality, planning and digital stakeholders to understand process challenges and translate them into data and analytics requirements
- Independently perform complex analyses and establish effective process data monitoring to identify performance variation and prevent incidents
- Apply analytical thinking, data science methods and professional judgment to evaluate and implement approaches for predicting system and process performance
- Contribute hands-on to data preparation, data modelling, data quality checks and analytical implementation
- Contribute to data product governance and ensure that analytics solutions are developed in line with relevant data integrity and compliance expectations
- Coordinate task distribution within cross-functional analytics work packages and provide expert guidance to colleagues
- Proactively identify sources of product and process performance variation through data analysis
- Support leadership and operational teams by preparing, analyzing and communicating technical reports, performance insights and decision-relevant analytics in a clear, actionable way.
Requirements
What you’ll need- Bachelor degree in engineering, computer science, data science, business administration, or a related field is required
- 5+ years of experience in manufacturing, production processes, data analytics, data science, business intelligence, or a closely related field
- Strong understanding of manufacturing and quality processes
- Ability to analyze process flows, identify performance drivers and translate operational challenges into prioritized data and analytics requirements
- Experience in owning or leading analytics solutions, data products or cross-functional data initiatives from requirements definition through implementation and continuous improvement
- Strong analytical and technical skills
- Hands-on experience with data analysis, data preparation and data visualization
- Experience with SQL, Python, R or comparable tools
- Good understanding of data engineering fundamentals
- Deep understanding of IT/OT systems, digital solutions, analytics models and business system landscapes within manufacturing, quality control, planning and related reporting frameworks
- Excellent knowledge of data analytics, data product / data mesh principles and relevant systems such as Snowflake, Tableau and other BI tools
- Understanding of data governance, data integrity, GxP / CSV-relevant documentation principles and compliance expectations in a regulated manufacturing environment
- Proven ability to guide colleagues, coordinate work packages, influence without formal authority and lead cross-functional teams through complex analytical problem solving
- Strong decision-making ability, structured thinking and the ability to manage priorities, resources and stakeholder expectations in a complex matrix environment
- Fluency in English is required
- German language skills are beneficial.
Benefits
Comp & perks- Discretionary annual bonus may be available based on individual and Company performance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data AnalysisData PreparationData VisualizationAnalytical ThinkingData Engineering FundamentalsPerformance MonitoringProcess Flow AnalysisData Quality ChecksPredictive AnalyticsBusiness Intelligence
Soft Skills
Decision-MakingStructured ThinkingInfluencing Without AuthorityCross-Functional Team LeadershipCommunication