Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative Electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to 

deliver better products in the increasingly complex world of chip, board, and system design.

We are seeking highly motivated data analytics professionals to help us build the data infrastructure for Siemens EDA Customer Support Analytics and to drive excellence across our global customer support organization through insights and technology.

Job Responsibilities:

• Build, enhance, and maintain analytics assets, such as dashboards and reports, to unlock actionable insights that drive operational excellence and business outcomes.
• Manipulate and analyze large datasets, to uncover trends and patterns.
• Design and maintain data systems and pipelines to enable reliable, automated, and efficient data flow—from ingestion through transformation, storage, and refresh scheduling.
• Develop and manage robust data models (star/snowflake schemas, semantic layers) that support complex analytics and consistent metric definitions.
• Collaborate with the global customer support team to understand their needs and develop solutions that improve service delivery and customer experience.
• Work closely with global and regional support managers to drive excellence and improve operational targets.
• Build interfaces and apps enabling various uses of our data as well as user management and control.
• Continuously evaluate and adopt modern technologies and tools in programming, data analysis, and machine learning to strengthen our data platform and analytics capabilities.

Qualifications:

• BS/MS plus at least 5 years of meaningful work experience (Data Analytics, Analytics Engineering, Data Engineering, Data Science, or similar).
• Proven experience in translating complex data into actionable insights and applying those insights to drive operational excellence.
• Understanding of data and analytics infrastructures: data lakes, warehouses, data marts, and BI platforms powering business intelligence.
• Solid Python and SQL; expert dimensional modeling (star/snowflake), data manipulation, and metric design skills.
• Hands-on with Power BI (visualizations, datasets/semantic models, RLS/OLS, workspace/app governance; PBIP and Deployment Pipelines a plus).
• Experience with machine learning algorithms and tools is an advantage.
• Familiarity with cloud-based systems, data pipelines, ETL processes, and orchestration tools is a significant plus.
• Critical thinking and a problem-solving attitude.
• Good communication skills, experience presenting across cultures and seniority levels, ability to persuade and motivate change.
• Advanced knowledge of English; both verbal and written.

We are Siemens:

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.

Transform the everyday

Accelerate transformation

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