Job Description

We are looking for a Business Analyst to work closely with customer stakeholders and project teams to understand business requirements and translate them into clear, actionable requirements for data and analytics initiatives. The role will support data catalogue, data modelling, data remediation, dashboard development, KPI definition, semantic mapping, and data publication workstreams.

The Business Analyst will act as a key bridge between business stakeholders and technical teams, ensuring that business terms, critical data elements, ownership, classification, glossary content, and validation requirements are accurately captured and aligned with business objectives.

Key Responsibilities

• Engage directly with customer stakeholders to gather, analyse, and document business requirements.
• Define and maintain business terms, definitions, and business rules
• Identify and document Critical Data Elements (CDEs) and their business significance.
• Facilitate identification of data ownership, stewardship, and accountability
• Support data classification and authoritative register scope definition.
• Develop and maintain business glossaries and ensure consistent terminology across stakeholders.
• Define and validate semantic mappings between business concepts and data elements.
• Gather and document KPI definitions, calculation logic, business rules, and reporting requirements
• Define data publication scope, target users, and business validation requirements.
• Translate business requirements into clear functional requirements and user stories for technical teams.
• Work with data engineers, data architects, data governance teams, BI developers, and other technical stakeholders to ensure requirements are correctly implemented.
• Support data catalogue and metadata management activities by validating business context and ownership information.
• Participate in data modelling discussions and ensure models align with business requirements.
• Support data remediation initiatives by identifying business data quality requirements, rules, and validation criteria.
• Review dashboards and reports to ensure KPIs and business definitions are accurately represented.
• Coordinate stakeholder reviews, requirement walkthroughs, and sign-offs.
• Identify gaps, inconsistencies, and conflicts in business definitions and facilitate their resolution.
• Prepare requirements documentation, process flows, business rules, mapping documents, and acceptance criteria.
• Support User Acceptance Testing (UAT) by preparing scenarios, validating results, and coordinating stakeholder feedback.
• Maintain traceability between business requirements, data elements, reports, dashboards, and published data assets.
• Ensure deliverables meet agreed business, governance, quality, and compliance requirements.

Required Skills & Qualifications

• Bachelor’s degree in Business Administration, Information Systems, Computer Science, Data Management, or a related field
• 4–7 years of experience as a Business Analyst, preferably within data, analytics, data governance, or digital transformation projects.
• Strong experience in business requirements gathering and stakeholder management
• Experience working with data governance, data cataloguing, metadata, data quality, or data management initiatives.
• Strong understanding of business glossary, data ownership, data classification, CDEs, KPIs, and data definitions
• Ability to translate business requirements into clear technical and functional requirements.
• Strong analytical, documentation, communication, and presentation skills.
• Experience preparing BRDs, FRDs, user stories, process flows, business rules, acceptance criteria, and UAT documentation
• Ability to work effectively with both business and technical teams.
• Strong attention to detail and ability to manage multiple requirements and stakeholders.

Preferred Skills

• Experience with Data Governance and Data Management frameworks
• Familiarity with data catalogue and metadata management tools such as Microsoft Purview, Informatica, Collibra, or similar platforms.
• Understanding of data modelling, data lineage, data quality, BI, and analytics concepts
• Familiarity with SQL and relational databases.
• Experience with BI tools such as Power BI or Tableau is an advantage.
• Knowledge of Agile/Scrum methodologies and tools such as Jira or Azure DevOps.
• Experience working on enterprise-scale data transformation or governance programmes.

Key Deliverables

• Business requirements and functional specifications
• Business glossary and business term definitions
• Critical Data Element documentation
• Data ownership and stewardship definitions
• Data classification requirements
• Semantic and data mappings
• KPI definitions and business rules
• Data publication requirements
• UAT scenarios and acceptance criteria
• Stakeholder validation and sign-off documentation
• Requirements traceability and process documentation