Data Analyst/BA

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