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Advantest

Global Data Analyst (m/f/d)

Advantest Böblingen, Baden-Württemberg, Germany

Semiconductor Manufacturing · 1,001-5,000 employees

Oct 09
data-analyst Senior (5-10 yrs) Full-time Germany
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About the role

The Global Data Analyst will analyze source systems, perform data profiling, and map data flows to define transformation logic for pipelines and analytics platforms. They will also collaborate with stakeholders to translate business requirements into technical specifications and support testing phases.

What they look for

Data Analysis Data Mapping Data Profiling Data Modeling SQL Python Microsoft Azure Databricks Business Requirement Documents Functional Requirement Specifications Data Warehousing KPI Definition Process Flows User Acceptance Testing Data Architecture Supply Chain Management

Requirements

Candidates must hold a Bachelor's or Master's degree in a relevant field and possess 5–8 years of experience in data analysis or modeling. Proficiency in SQL, Python, Microsoft Azure, and Databricks is required, along with experience in global transformation projects.

Full description

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

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

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