Data Analyst/BA

Note: Experience working as part of project team in global transformation projects in Operations and Supply Chain Management or Human Resources and Finance.

Roles and Responsibilities

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

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

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.

Technical Collaboration

· Work with data architects, data engineers, BI developers, and solution architects to ensure accurate implementation of data requirements.

· Support data mapping discussions and participate in design reviews to ensure alignment with architecture standards

· Assist development teams during implementation by resolving requirement-related questions

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

Continuous Improvement

· Support business users on data ownership and data quality processes and drive a data driven culture and mentality

· Contribute to process improvements in requirement management and delivery practices