Data Analyst - Advanced Analytics & AI (m/f/d)

Körperbehinderten-Verein Stuttgart e.V.; Böblingen; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Vacation days

Mobile working

Bonus program

Bike leasing

Pension scheme

Language courses

Zusammenfassung

Advantest is seeking a Data Analyst for Advanced Analytics & AI to transform complex manufacturing data into actionable insights that improve product quality and production efficiency. You will work within a global cross-functional team across engineering, production, and customer data throughout the product lifecycle.

The role requires strong statistical know-how, Python and SQL skills, and the ability to communicate findings to technical and non-technical audiences.

Qualifikationen

• Bachelor's or Master's degree in a quantitative field.
• Strong analytical mindset with data-driven problem-solving.
• Experience analyzing large-scale manufacturing/test/production datasets.
• Solid understanding of statistical methods and experimental analysis.
• Proficiency with Python and data-analysis libraries (Pandas, NumPy, SciPy, scikit-learn).
• Experience with SQL-based data environments.
• Excellent English communication skills.

Aufgaben

• Transform complex technical data into actionable insights.
• Work with large-scale datasets from manufacturing, engineering, qualification, field ops, subcontractors, and customers.
• Conduct advanced statistical analyses to identify trends, anomalies, and root causes.
• Perform correlation studies across data sources and lifecycle stages.
• Design and execute qualification and validation analyses to support decisions.
• Deliver rapid ad-hoc investigations for production, quality, and customer issues.
• Evaluate AI-driven approaches and integrate into analytics workflows.
• Identify opportunities to automate processes and improve efficiency.

Kenntnisse

Analytical mindset

Large-scale data analysis

Statistical methods

Python

SQL

English communication

Communicating findings

Self-driven

Ausbildung

Bachelor's or Master's in Data Science / Statistics / CS / Engineering / Mathematics

Tools

Tibco Spotfire

Power BI

Tableau

Jobbeschreibung

tomorrowʻs technology.

IoT, 5G and Artificial Intelligence. Unthinkable without us. More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers.

Data Analyst – Advanced Analytics & AI (m/f/d)

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Your Responsibilities

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.

Your Qualifications

• 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.

Our offer

Flexibility Benefits Development Fitness Security

Flexible and trust-based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part-time models and programs for extended periods of absence

Attractive salary, share in Advantest´s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing)

Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions

Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days

Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations

For further information visit: www.advantest-career.de