Global Data Analyst (m/f/d) in Böblingen, Deutschland

Are you seeking answers and opportunities for your future? At our site in Böblingen you will find both as Global Data Analyst (m/f/d) Advantest Europe GmbH Böblingen Vollzeit, Teilzeit Home-Office Advantest - We enable tomorrowʻs technology. Market leader Hightech-High-tech semiconductors International impact IoT, 5G and Artificial Intelligence. Unthinkable without us. More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers. Your Responsibilities Data Analysis & Data Mapping Analyze source systems to understand existing data structures Perform data profiling, data quality assessment, and exploratory data analysis on source systems. Map source-to-target data flows and define transformation logic for data pipelines, data warehouses, and analytics platforms. Design Data models, Entity-Relationship diagrams, and document data definitions. Identify data gaps, inconsistencies, and quality issues and propose remediation strategies. Work closely with data architects and engineers to validate source system assumptions. Requirements & Documentation Create and maintain artifacts such as: Business Requirement Documents (BRD), Functional Requirement Specifications (FRS), User Journeys and Acceptance Criteria, Process flows, data models, and system diagrams. Ensure requirements are clear, complete, testable, and traceable Develop data and KPI definitions and implement these into our global data catalog Business & Stakeholder Engagement Collaborate with business stakeholders to understand business problems, pain points and requirements. Translate business requirements into detailed functional and technical specifications. Facilitate workshops, interviews, and requirement-gathering sessions Act as a trusted advisor by proposing solution options and trade-offs Delivery & Quality Support Support sprint planning, backlog refinement, and prioritization activities Validate solutions against business requirements during testing phases Support UAT (User Acceptance Testing) by defining scenarios and validating outcomes Identify risks, dependencies, and impacts related to proposed changes Your Qualifications Bachelor's or Master's degree in: Computer Science/ Economics/ Engineering/ Business Administration Data Bricks, Microsoft Azure, SQL, Python skills 5-8 years of experience as a Data Analyst, Data Modeler, Technical Business Analyst, or similar role Solid experience with data analysis and technical expertise regarding data models, database design development, data mining and segmentation techniques; Experience working as part of project team in global transformation projects in Operations and Supply Chain Management or Human Resources and Finance Experience working with cross-functional teams including developers, QA, and product owners Experience in understanding how data supports solid processes and hence adds business value is a must have Our offer Flexibility Benefits Development Fitness Security Flexibility: Flexible and trust-based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part-time models and programs for extended periods of absence Benefits: Attractive salary, share in Advantest´s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing) Development: Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions Fitness: Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days Security: Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations Insights into our work environment Would you like to know more about jobs at Advantest and about our unique team spirit? Our employees offer you their personal insights into our working environment. Would you like to take a closer look how our working environment in Boeblingen or Amerang looks like? Here you can take a short virtual 360° tour of our company - click the image to get to know us better. Contact If you have any questions, Ann-Kathrin Rupp will be happy to answer them. AdvantestAnn-Kathrin RuppBöblingen+49 (0) 7031.204.8022. Take your next career step with us! Apply now, preferably via our online application tool. Apply now For further information visit: Data Analysis & Data Mapping Analyze source systems to understand existing data structures Perform data profiling, data quality assessment, and exploratory data analysis on source systems. Map source-to-target data flows and define transformation logic for data pipelines, data warehouses, and analytics platforms. Design Data models, Entity-Relationship diagrams, and document data definitions. Identify data gaps, inconsistencies, and quality issues and propose remediation strategies. Work closely with data architects and engineers to validate source system assumptions. Requirements & Documentation Create and maintain artifacts such as: Business Requirement Documents (BRD), Functional Requirement Specifications (FRS), User Journeys and Acceptance Criteria, Process flows, data models, and system diagrams. Ensure requirements are clear, complete, testable, and traceable Develop data and KPI definitions and implement these into our global data catalog Business & Stakeholder Engagement Collaborate with business stakeholders to understand business problems, pain points and requirements. Translate business requirements into detailed functional and technical specifications. Facilitate workshops, interviews, and requirement-gathering sessions Act as a trusted advisor by proposing solution options and trade-offs Delivery & Quality Support Support sprint planning, backlog refinement, and prioritization activities Validate solutions against business requirements during testing phases Support UAT (User Acceptance Testing) by defining scenarios and validating outcomes Identify risks, dependencies, and impacts related to proposed changes Bachelor's or Master's degree in: Computer Science/ Economics/ Engineering/ Business Administration Data Bricks, Microsoft Azure, SQL, Python skills 5-8 years of experience as a Data Analyst, Data Modeler, Technical Business Analyst, or similar role Solid experience with data analysis and technical expertise regarding data models, database design development, data mining and segmentation techniques; Experience working as part of project team in global transformation projects in Operations and Supply Chain Management or Human Resources and Finance Experience working with cross-functional teams including developers, QA, and product owners Experience in understanding how data supports solid processes and hence adds business value is a must have