Global Data Analyst (m/f/d)

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

If you have any questions, Ann-Kathrin Rupp will be happy to answer them.

Advantest
Ann-Kathrin Rupp
Böblingen
+49 (0) 7031.204.8022

For further information visit: www.advantest-career.de