Analyst - Data Support

For our client, a famous company in the semiconductor sector, we are looking for an Senior Data Analyst (m/f/d)with focus on HR Data in Böblingen. As part of the global transformation, you will shape our global data model and support all business transformation projects – with a special focus on HR processes and data – to meet modern workforce and organizational demands. Act as a data analyst on transformation projects to support business users as well as our partners and suppliers – particularly in HR domains (Talent Acquisition, Onboarding, L&D, Retention, Workforce Planning) Collect business and HR-specific data requirements and develop proposals on how to fulfill them efficiently and compliantly Analyze HR and organizational data, identify data quality issues, and define practical solutions (e.g., for master data, job architecture, succession, and performance metrics) Develop and maintain HR data and KPI definitions (e.g., time-to-hire, turnover, headcount trends) and implement them into our global data catalog Support the development of a scalable, integrated data architecture to strengthen our Digital Twin of the organization – especially as it relates to employee lifecycle data Collaborate closely with HR teams on data ownership, privacy, and quality processes and drive a data-driven culture across HR and business functions Bachelor’s or Master’s degree in Mathematics, Economics, Computer Science, Information Management or comparable – ideally with a specialization or certification in HR Analytics or People Data Experience working as part of a project team on transformations in HR (e.g., Strong knowledge of HRIS systems and data structures (e.g., SAP SuccessFactors, Workday, Oracle HCM) is highly desirable Proven experience with data analysis and data quality initiatives – ideally in People Analytics, Workforce Planning, or Organizational Design Technical expertise regarding data models, database design, data mining and segmentation techniques; Power BI, Tableau), databases (SQL), and programming (Python, XML, or ETL frameworks) Experience with statistical packages for analyzing datasets (Excel, SPSS, SAS, or R) Solid understanding of how HR data drives business value and supports compliant and strategic people decisions Excellent communication and collaboration skills in a global and cross-functional environment Very good English language skills; German or Japanese is a plus Self-starter with an analytical mindset and ability to manage technical detail as well as stakeholder alignment in HR and beyond An exciting environment and cutting-edge projects at global brands and hidden champions Personal and individual support by our Account Managers and HR team Internet: