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Tech Stack
Tools & technologiesPythonSQLTypeScript
About the role
Key responsibilities & impact- Technical responsibility for developing, selecting, evaluating, and standardizing quality analytics methods, data models, KPI systems, and reusable analytical components.
- Independently analyze complex measurement, laboratory, process, and quality data, and derive robust areas for action and decision-making foundations.
- Develop, harmonize, and validate statistical metrics, quality indicators, and models for detecting trends, deviations, and anomalies.
- Apply and evaluate SPC, trend, correlation, outlier, and process capability analyses.
- Design and implement data models, automated data preparation and reporting processes, dashboards, reports, and self-service analytics solutions.
- Develop data analytics solutions using Python and SQL, and establish standards for data quality, KPI definitions, calculation logic, and documentation.
- Evaluate and validate predictive analytics and AI applications, and transition suitable solutions into practical use.
- Provide technical coordination for analytics projects from requirements analysis through implementation.
- Advise and empower the relevant departments, and transfer established methods, standards, and solutions to additional processes and sites.
Requirements
What you’ll need- Completed master’s degree in Data Science, Statistics, Computer Science, Business Informatics, Mathematics, Physics, Engineering, or a comparable field.
- Professional experience in data analytics, data science, business intelligence, statistics, or a comparable technical or quality-related environment.
- Very good knowledge of Python, along with solid expertise in data analysis, statistical modeling, and data visualization.
- Good knowledge of SQL and relational data modeling, as well as experience developing and implementing data-driven solutions.
- Solid experience analyzing quality and process data and applying SPC, process capability, trend, correlation, and outlier analyses.
- Experience with dashboards, reports, KPI solutions, and self-service analytics, as well as with assessing and improving data quality.
- Ability to develop professional standards and reusable methods, document analytical results in a transparent and traceable manner, and independently coordinate cross-functional analytics projects.
- Analytical, structured, and solution-oriented approach, a high degree of independence and communication skills, and enthusiasm for interdisciplinary collaboration.
- Very good German and good English skills, both written and spoken.
- Further training in quality methods, machine learning, or artificial intelligence is an advantage.
Benefits
Comp & perks- Attractive compensation – strong base salary in accordance with the German chemical industry collective agreement
- Annual one-time payments (vacation allowance, Christmas bonus, and future contribution)
- Additional time off based on age
- Supplementary long-term care insurance in addition to statutory coverage
- Occupational health service with comprehensive preventive medical examinations
- Employee counseling service
- Company cafeteria serving freshly prepared meals every day
- Flexible working hours within core-time windows
- 38.5 hours per week
- Time off in lieu for overtime
- 30 days of annual leave
- Special leave for personal occasions
- Option to individually increase or reduce weekly working hours