Job Description
Siemens EDA is a global technology leader in electronic design automation software. Our software tools enable companies around the world to develop new and highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics in order to deliver better products in the increasingly complex world of chip, board and system design.
Key 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 KPIs.
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.
Requirements & Experience
BS/MS plus at least 5 years of relevant 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, data manipulation, and KPI/metric design skills.
Hands-on with Power BI (visualizations, datasets/semantic models, RLS/OLS, workspace/app governance; PBIP and Deployment Pipelines a plus).
AI enthusiast, avid user of AI-based development tools and Copilots, experienced in AI-enabled automation and AI integration.
Familiarity with cloud systems, data pipelines, and orchestration. Ideally, experienced in MS Fabric and Snowflake.
Critical thinking and a problem-solving mindset.
Excellent communication skills, experience communicating across cultures and seniority levels, ability to persuade and drive change.
Advanced knowledge of English; both verbal and written.