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.
As a Data Analyst with a solid understanding of software development, you design data-driven solutions that not only uncover patterns in complex datasets but also create technical concepts that streamline analysis workflows. Drawing on parametric data generated in production of precision measurement instruments, you ensure that insights are grounded in high-quality, real-world metrics. You navigate effortlessly between analytical thinking and technical implementation, playing a key role in data-based decision-making and driving innovation in manufacturing environments.
Data Analysis & Pattern Recognition:
Perform exploratory data analyses to identify relevant patterns, anomalies, and correlations
Derive hypotheses for root cause investigations and support evidence-based decision-making
Apply statistical methods and machine learning techniques for problem-solving and forecasting
Design and build data pipelines for efficient processing of large data volumes
Develop prototypes (PoC) and lightweight applications (e.g. dashboards) to present insights
Degree in Computer Science, Information Systems, Data Science, Mathematics or a related field
Strong experience in data analytics, complemented by hands-on software development skills (e.g. Python, SQL, Git, APIs)
Very good knowledge in English and German written and spoken
Solid understanding of database structures, data modeling, and ETL workflows
Benefits
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
Apply now, preferably via our online application tool
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