Business Systems Analyst

We are seeking a Business Systems Analyst to join our Data Office team. The successful candidate will work closely with business stakeholders to understand business challenges, define data and reporting requirements, and deliver data products that drive operational efficiency, informed decision-making, and business value.

Key Responsibilities and Deliverables

• Develop an understanding of business processes, systems, data domains, and enterprise data flows to support analysis and solution delivery.
• Analyse and document current-state and future-state business processes, data flows, and information requirements.
• Produce process maps, data flow diagrams, system context diagrams, data mapping artefacts, and other analysis deliverables to support business and technical stakeholders.
• Identify opportunities to improve processes, enhance data quality, increase automation, and reduce manual effort.
• Assess the impact of proposed changes on business processes, systems, enterprise data, and reporting outcomes.
• Support the definition and documentation of business rules, data definitions, and critical data elements.
• Ensure alignment between business requirements, enterprise data standards, and intended business outcomes.

Requirements Gathering & Definition

• Elicit, validate, and document business, enterprise data, and reporting requirements through workshops, interviews, and stakeholder engagement activities.
• Translate business needs into clear, delivery-ready requirements, user stories, acceptance criteria, reporting logic, and governed business rules.
• Document data requirements, including source systems, business definitions, data quality expectations, calculations, and consumption requirements.
• Assess the impact of change requests and support prioritisation of competing demands.
• Maintain requirements traceability throughout the delivery lifecycle.
• Work with business stakeholders and delivery teams to ensure requirements remain aligned to business objectives and enterprise data standards.

Collaboration & Delivery Support

• Act as a liaison between business stakeholders and Data Office delivery teams.
• Work closely with Data Product Owners, Data Engineers, architects, developers, and business stakeholders to clarify business, process, and enterprise data requirements.
• Translate business, process, and data requirements into delivery-ready specifications and supporting artefacts.
• Support backlog refinement, prioritisation, and requirements clarification activities throughout the delivery lifecycle.
• Collaborate with delivery teams to define acceptance criteria and support testing and validation activities.
• Support the successful handover of requirements and analysis artefacts into delivery and implementation teams.
• Promote alignment between business objectives, enterprise data standards, and delivered solutions.
• Support delivery teams in understanding business context, intended outcomes, and enterprise data requirements to ensure successful implementation.

Change Enablement & Adoption

• Support the implementation of new data products, reporting solutions, and business capabilities.
• Assess business impacts and support adoption activities where required.
• Develop user journeys, process documentation, and supporting materials.
• Support stakeholders in understanding new ways of working, business processes, and enterprise data.
• Assist with the definition and communication of business changes resulting from new data products and capabilities.
• Support business readiness activities to ensure solutions can be successfully adopted and embedded into operational processes.
• Ensure delivered solutions align with business needs, user expectations, and operational requirements.

Stakeholder Engagement

• Act as one of the primary points of engagement between the Data Office and business stakeholders.
• Build strong working relationships across business, technology, and data teams to support the successful delivery of Data Office initiatives.
• Facilitate workshops, discovery sessions, requirements gathering activities, and stakeholder reviews.
• Communicate business, process, system, and enterprise data concepts clearly to both technical and non-technical audiences.
• Elicit information from stakeholders to understand business challenges, opportunities, processes, and data requirements.
• Manage stakeholder expectations and support informed decision-making throughout the data product lifecycle.
• Work collaboratively with business stakeholders to identify opportunities to improve business processes, data quality, reporting, and data consumption.
• Collaborate with the wider Business Analysis, Data Office, and Technology communities to promote best practice and consistent delivery approaches.

New Work Intake & Prioritisation

• Manage the end-to-end intake process for new requests entering the Data Office delivery pipeline.
• Act as an initial point of contact for business stakeholders seeking support from the Data Office.
• Facilitate discovery sessions to understand business challenges, opportunities, enterprise data requirements, and desired outcomes.
• Gather, document, and refine business, enterprise data, and reporting requirements to support prioritisation and delivery planning.
• Produce discovery outputs, high-level requirements, problem statements, and supporting documentation.
• Assess business value, feasibility, risks, dependencies, and alignment with Data Office priorities and strategy.
• Work with business stakeholders, Data Product Owners, and delivery teams to shape requests into delivery-ready initiatives.
• Coordinate the handover of approved requirements, data definitions, and supporting artefacts to delivery teams for data ingestion, engineering, and implementation.
• Support prioritisation and backlog management activities to ensure demand is aligned with business value and delivery capacity.
• Maintain visibility of requests through the intake and delivery process, ensuring stakeholders are informed of progress, decisions, and next steps.

Key Requirements (Communication/Skills/Experience)

• Strong analytical and problem-solving skills with the ability to understand business processes, enterprise data, and reporting requirements.
• Demonstrate an understanding of enterprise data concepts, including data quality, data lineage, master data, reference data, and business rules.
• Use SQL to interrogate, analyse, and validate data in support of business analysis, requirements gathering, and issue investigation.
• Analyse datasets to identify trends, anomalies, data quality issues, and opportunities for improvement.
• Support the definition and validation of reporting logic, calculations, KPIs, and business metrics.
• Demonstrate proficiency in Microsoft Office products, particularly Excel, Visio, and PowerPoint.
• Use delivery and collaboration platforms such as Azure DevOps, Jira, Confluence, and related tooling.
• Understand data product delivery concepts and the relationship between business requirements, enterprise data, and technical implementation.