What are the responsibilities and job description for the Data Analyst - Advanced Analytics & AI (m/f/d) position at Advantest?
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.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative discipline.
- Strong analytical mindset with the ability to solve complex technical problems using data.
- Experience analyzing large-scale technical, manufacturing, test, measurement, or production datasets.
- Solid understanding of statistical methods and experimental data analysis.
- Practical experience with Python and modern data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-Learn).
- Experience working with SQL-based data environments.
- 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.
Preferred Qualifications:
- Experience with AI, machine learning, predictive analytics, or data science methodologies.
- Experience with semiconductor manufacturing, automated test equipment (ATE), electronics manufacturing, or other high-tech industries.
- Experience with Tibco Spotfire, Power BI, Tableau, or similar analytics platforms.
- Experience working directly with customers on technical investigations or problem resolution.
- Knowledge of quality methodologies such as Six Sigma, Design of Experiments (DoE), Statistical Process Control (SPC), or Root Cause Analysis.
- Familiarity with Linux-based environments.
- Experience with SQL optimization and large-scale data architectures.
- Knowledge of modern data platforms, cloud analytics environments, or NoSQL databases.
- Experience working in global, cross-cultural organizations.
- German language skills.