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

Requirements:

• 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