Advantest
1 Stelle · nach Relevanz
Global Data Analyst (m/f/d)
Anzeige auf Englisch
Data Analysis & Data MappingAnalyze source systems to understand existing data structuresPerform 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 & DocumentationCreate 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 traceableDevelop data and KPI definitions and implement these into our global data catalogBusiness & Stakeholder EngagementCollaborate 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 sessionsAct as a trusted advisor by proposing solution options and trade-offsDelivery & Quality SupportSupport sprint planning, backlog refinement, and prioritization activitiesValidate solutions against business requirements during testing phasesSupport UAT (User Acceptance Testing) by defining scenarios and validating outcomesIdentify risks, dependencies, and impacts related to proposed changesJob RequirementsBachelor’s or Master’s degree in: Computer Science/ Economics/ Engineering/ Business AdministrationData Bricks, Microsoft Azure, SQL, Python skills5–8 years of experience as a Data Analyst, Data Modeler, Technical Business Analyst, or similar roleSolid 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 FinanceExperience working with cross-functional teams including developers, QA, and product ownersExperience in understanding how data supports solid processes and hence adds business value is a must haveJob DetailsJob Type: Full-timeCategory: Administration
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