Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Böblingen
- Working Model
- Onsite
Job Summary
In this role, you analyze complex datasets from production to gain actionable insights for product improvement, utilizing modern data analysis tools and AI solutions.
Job Technologies
Your role in the team
- As part of a global cross-functional team, you will transform complex technical data into actionable insights that drive product quality, manufacturing excellence, and customer satisfaction.
- You will work with large-scale engineering, production, and customer data throughout the entire product lifecycle.
- Analyze large and highly complex datasets originating from manufacturing, engineering, qualification, field operations, subcontractors, and customer deployments.
- Perform advanced statistical analyses to identify trends, anomalies, dependencies, and root causes.
- Conduct correlation studies across multiple data sources and product lifecycle stages to uncover hidden relationships and systemic effects.
- Design and execute qualification and validation analyses to support engineering decisions and product improvements.
- Deliver fast-turnaround ad-hoc investigations for critical production, quality, and customer issues.
- Evaluate and integrate AI-driven approaches into existing analytical workflows.
- Identify opportunities to automate analytical processes and improve analytical efficiency through advanced methods.
- Stay current with emerging data science, AI, and analytics technologies and assess their applicability to business challenges.
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Our expectations of you
Education
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative discipline.
Qualifications
- Strong analytical mindset with the ability to solve complex technical problems using data.
- Solid understanding of statistical methods and experimental data analysis.
- Excellent English communication skills, both written and spoken.
- Ability to clearly communicate complex analytical findings to both technical and non-technical audiences.
- Self-driven, proactive, and comfortable working with ambiguous and rapidly changing analytical challenges.
Experience
- Experience analyzing large-scale technical, manufacturing, test, measurement, or production datasets.
- Practical experience with Python and modern data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-Learn).
- Experience working with SQL-based data environments.
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Topics You Will Work On
Job Locations
About Your Employer
Advantest
Advantest ist ein börsennotierter japanischer Hersteller von sogenanntem Automatic Test Equipment. Dies umfasst Testgeräte und -systeme, die in der Halbleiterindustrie benötigt werden, um die gefertigten Produkte noch in der Herstellung auf ihre Funktionstüchtigkeit zu testen.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Data Analyst - Advanced Analytics & AI
- Location
- Böblingen
- Working Model
- Onsite
- Diversity
- Open for all genders
