Consultant Reporting & Business Analytics mit Schwerpunkt Data Science (m/f/d)

Trust something new, grow beyond itself and redefine the boundaries of the feasible. That is exactly what our employees can and should live daily. To set the pace with our innovations and make it great. Because there are a lot of fascinating people behind every successful company.

ZEISS employees work in an open and modern environment with numerous development and further training opportunities. Our culture is characterized by expert knowledge and team spirit. All this is supported by the special ownership structure and the long-term goal of the Carl-Zeiss Foundation: to advance science and society together.

Today dare. Inspire tomorrow.

Diversity is part of ZEISS. We look forward to your application regardless of gender, nationality, ethnic and social origin, religion, world view, disability, age as well as sexual orientation and identity.

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ZEISS Semiconductor Manufacturing Technology Enabler for smaller, more powerful and more energy-efficient microchips

Work where the morning arises.

About 80 percent of all microchips worldwide are manufactured using ZEISS technologies. As the heart of any electronically controlled system, You are no longer to think away from our everyday life – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and solutions for process control, ZEISS enables the production of increasingly smaller, more powerful and more energy-efficient microchips – and thus decisively shapes the age of microelectronics and nanoelectronics with its innovations.

Responsible initiation and implementation of data science projects, e.g. pattern recognition and predictive analytics

Development and implementation of modern BI tools, planning solutions and automation of processes

Development and introduction of AI systems (e.g. chat robots, agent systems)

Further development of the data warehouse system (architecture, data models, integration processes) in the area of Finance & Controlling

Maintenance and development of existing Power-BI reports

Translation of Business Requirements in Analytical Models and Interpretation of Results for the Departments

Conception and implementation of user training

Complete university studies with a focus on data science and business

3–5 years of professional experience in Data Science/Machine Learning and very good knowledge in R and/or Python

Found SQL knowledge and experience with relational databases

Good SAP knowledge (FI/CO/MM/SD) and understanding of data structures

Ideally experience in finance & controlling or business intelligence in a manufacturing company

Ideally significant experiences in the Microsoft environment: Power BI/Fabric/Azure

Embossed Analytical and Conceptual Thinking Power to Optimize Complex Processes

High self-initiative, structured and team-oriented working and a very good cross-disciplinary approach