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
