Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement.
Assess the efficiency and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Coordinate with different functional teams to implement models and supervise outcomes.
Develop processes and tools to supervise and analyze model performance and data accuracy.
Builds and develops self-service metrics dashboards/tools and data visualization using Tableau or other data visualization tools
Experience working with one or more of the following BI tools: Tableau Cloud, Tableau Desktop, Tableau Server, Tableau Prep, QlikView, Business Objects and Alteryx.
Experience in the development and deployment of management and executive dashboards and reports including working with management and sponsors to capture and interpret requirements and turn those into dashboards that drive actionable decisions.
Knowledge of query languages (example: SQL).
Migration of all projects related data / input queries from Oracle to Snowflake. Data validation to ensure accuracy.
Migration of all Alteryx workflows to new version and Alteryx BI environment.
Migration of Tableau assets (workbooks, dashboards, data sources) from on-premises or Tableau Server to Tableau Cloud. Optimize Tableau workbooks and data sources to ensure performance and scalability in the cloud environment. Ensure data security, compliance, and governance standards are maintained throughout the migration process.
Desire and ability to work in a large, sophisticated and changing environment that is moving and evolving into a SaaS business model.
Proven communication skills and ability to work collaboratively in a team environment.
Degree holder in Statistics, Mathematics, Information Systems, Data mining, Data Analytics or related disciplines
Minimum 5 years of relevant experience in business intelligence, data analysis or statistical/AI/ML modeling !
Why us?
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
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!
#LI-PLM #LI-Hybrid
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations.
