Proficiency in MS Office/Google Workspace: You are experienced in standard functions (e.g., pivot tables, VLOOKUP, charts) and are capable of processing and visualizing complex data structures Analytical Mindset: You enjoy interpreting numbers, identifying correlations, and drawing logical conclusions Initial Experience in Data Analysis or Reporting: Ideally, you have already gained some experience in data preparation and analysis, for example through internships or working student positions Structured and Diligent Work Ethic: You work precisely and reliably, even when handling large volumes of data Strong Communication Skills: You can prepare and present complex information in an understandable manner Team Player: You are an open and engaged team player who enjoys collaborating with colleague Introduction text Schwarz Digits is the IT and digital division of the Schwarz Group. It offers convincing digital products and services that meet the high German data protection standards. Schwarz Digits thus guarantees the greatest possible digital sovereignty. With this claim, Schwarz Digits provides the IT infrastructure and solutions for the extensive ecosystem of Schwarz Group companies and continues to develop it for the future. Schwarz Digits creates optimal conditions for the development of trend-setting innovations for end customers, companies and public sector organizations. Schwarz Digits includes 7,500 employees of the brands Schwarz IT, Schwarz Digital, STACKIT, XM Cyber, Lidl e-commerce, Kaufland e-commerce, Schwarz Media and mmmake. Your tasks HR Analytics & Evaluation: You support the creation and execution of ad-hoc analyses as well as regular evaluations of various HR topics (e.g., personnel development, recruiting, turnover, employee satisfaction) Data Analysis: You identify trends, patterns, and anomalies within our HR data, deriving initial insights and recommendations for action Regular Reporting: You are responsible for preparing and visualizing HR key performance indicators (KPIs) in clear, impactful reports for various stakeholders Data Quality Assurance: You help ensure the quality and consistency of our HR data and contribute to the ongoing development of our database Project Support: You assist in the implementation of new tools and processes within the field of HR reporting and analytics