Global Data Analyst (m/f/d)

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