Job
- Level
- Senior
- Job Field
- Data, Project
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze large data sets from various sources to support project management in overall vehicle quality, developing meaningful reports and dashboards using Power BI and Python.
Job Technologies
Your role in the team
- Analytical support for project managers in the field of overall vehicle quality through structured data preparation and analysis.
- Participation in the development and continuous improvement of processes to measure and enhance the performance of interdisciplinary departments.
- Collection, consolidation, and validation of data from various departments and heterogeneous data sources.
- Consolidation and analysis of large datasets along the automotive end-to-end process chain (supply chain, production, quality, sales).
- Definition, further development, and standardized interpretation of KPIs for evaluating process, project, and quality performance.
- Development of meaningful reports, interactive dashboards, and automated analysis processes with Power BI and Python.
- Conducting deviation, trend, and root cause analyses as well as identifying optimization potentials in interdisciplinary processes.
- Derivation of concrete action recommendations for project management, specialist departments, and management.
- Preparation of target group-specific decision-making documents and presentation of complex analysis results for non-technical stakeholders.
- Documentation of data sources, calculation logic, and analysis processes to ensure transparency and traceability.
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Our expectations of you
Education
- Completed degree in Data Science, Business Informatics, Computer Science, Statistics, Industrial Engineering, Engineering Sciences, or a comparable field with an analytical focus.
Qualifications
- Solid knowledge in preparing and analyzing large, heterogeneous data sets.
- Excellent Excel skills (complex formulas, PivotTables, data models, Power Query).
- Very good knowledge of Power BI, including data modeling, dashboard development, and DAX.
- Good practical Python skills for data preparation, analysis, and automation.
- Understanding of data quality, KPI logic, and traceable reporting structures.
- Ability to derive clear insights and actionable recommendations from complex data sets.
- Excellent communication and presentation skills, as well as confident demeanor when interacting with project managers and management.
- Independent, analytical, and solution-oriented working style with a high degree of initiative.
- Very good knowledge of German and good knowledge of English, both spoken and written.
Experience
- Several years of professional experience in data analysis, Business Intelligence, or performance reporting.
- Experience with consolidating data from different sources and systems.
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What we offer
- Varied activities in a forward-looking and innovative environment of the automotive industry.
- Hybrid work model with flexible options for a balanced work-life balance.
- Collaboration within a cross-location and cross-department team with flat hierarchies and short decision-making paths.
- Attractive development opportunities and continuous training in a dynamic environment.
- Modern work tools and access to industry-standard tools and technologies.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
GEMMACON GmbH
We are a management consulting firm specializing in the automotive industry - radically simple, solution-oriented, and digitized. Our focus is on development, connected car services, quality analytics & after sales. We have many well-known OEMs and first-tier suppliers as our clients.
Description
- Founding Year
- 2005
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Senior Data Analyst - Project Management & Overall Vehicle Quality
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
