Advantest Europe GmbH
Global Data Analyst (m/f/d)
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- Advantest Europe GmbH
- Böblingen
- Vollzeit, Teilzeit
- Home-Office
About the company
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
Contact
If you have any questions, Ann-Kathrin Rupp will be happy to answer them.
For further information visit: www.advantest-career.de
How to apply
Apply now
Job details
- Reference number:
- 8933
- Employment type:
- Teilzeit, Vollzeit
- Work model:
- Homeoffice Option
- Position:
- Angestellter o. Leitungsfunktion, Ingenieur/Techniker
- Experience:
- Langjährige (> 7 J.), Mehrjährige (3-7 J.)
- Education:
- Wirtschaftswissenschaften, Wirtschaftsingenieurwesen, Elektrotechnik, Energie-, Nachrichtent., Informatik, Wirtschaftsinf., IT u. TK
- School qualification:
- Abitur
- Qualification:
- Fachhochschulstudium, Universitätsstudium
- Languages:
- Englisch
- Field of study:
- Informatik, Weitere Fachrichtungen, Wirtschaftsinformatik, Wirtschaftsingenieure, Elektrotechnik, BWL
Published on October 09, 2026 · Listing via Jobware