Data Business Analyst

About Us

BACB is a UK bank that offers trade finance and complementary products to clients in specialist markets, especially Africa and the Middle East.

We have been helping businesses with trade finance and complementary products for over half a century, focusing on trade flows to and from Africa and the Middle East as well as real estate in the UK.

Our in-depth knowledge of the countries and practices where our clients operate ensures that we put them first.

Additional Info

• Hybrid Working: 3 days onsite, 2 from home

• Location: City of London

• Contract Type: Permanent

Job Summary -

The Data Business Analyst role is a delivery-focused position supporting key data transformation initiatives in a regulated banking environment, including the implementation of an enterprise data lake, business intelligence platform, and data governance framework. Working closely with the Head of Data, business stakeholders, engineers, and vendors, the role is responsible for translating business needs into clear requirements and trusted data products, while helping embed strong governance, stewardship, quality, and control practices from the outset.

Key Work Outputs and Accountabilities -

Discovery & Requirements Engineering

· Lead discovery activity across business domains to elicit, analyse, document, and prioritise business, data, reporting, and control requirements, ensuring alignment to strategic objectives and regulatory expectations

· Translate business problems into structured data use cases, epics, user stories, process maps, and acceptance criteria that are clear, testable, and traceable through delivery

· Facilitate workshops, interviews, playback sessions, and decision forums with business stakeholders, data stewards, engineers, and vendors to agree scope, priorities, assumptions, and dependencies

· Maintain the product backlog and supporting analysis artefacts, ensuring prioritisation reflects business value, risk, dependency, and implementation readiness

· Develop and maintain AS-IS / TO-BE process flows, data flows, source-to-target requirements, business rules, and non-functional requirements to support solution design

· Support impact assessments, test planning, and UAT coordination, ensuring full traceability from requirement through to implementation and business sign-off

Data Lake

· Define and refine business requirements for the enterprise data lake, including priority use cases, source onboarding, data domains, consumption patterns, and control requirements for a Snowflake-based platform

· Work with data engineering and architecture teams to shape source-to-target requirements, logical data models, data product definitions, and ingestion priorities across curated and consumption layers

· Ensure data lake requirements address data quality, lineage, reconciliation, retention, security, access controls, and auditability in line with banking control standards

· Support source-system onboarding by coordinating business input, profiling needs, issue resolution, and acceptance criteria for new datasets and data products

· Validate that delivered data lake outputs meet agreed requirements for usability, control, performance, and downstream consumption by analytics and reporting teams

Enterprise BI (Power BI)

· Work alongside the Head of Data, data stewards, and engineering teams to coordinate the development of target state designs for data products across domains

· Lead the capture and documentation of reporting and analytics requirements for the enterprise BI platform, including KPI definitions, dimensional needs, drill paths, security, and audience-specific consumption requirements

· Work with stakeholders and BI developers to define reporting standards, semantic layer requirements, dashboard acceptance criteria, and data-to-report reconciliation controls for Power BI outputs

· Support the rationalisation of legacy reports and the transition to a controlled enterprise reporting estate, identifying duplication, ownership, critical reports, and migration priorities

· Ensure BI solutions are designed for trust and adoption by defining business-facing metadata, usage guidance, validation criteria, and release readiness requirements

· Coordinate testing and business validation of dashboards and reports, including defect triage, requirements clarification, and sign-off management

Data Governance & Stewardship Enablement

· Support the implementation of data governance practices across domains, embedding ownership, decision rights, controls, and stewardship responsibilities into day-to-day delivery

· Define and document critical data elements, data quality rules, business definitions, and governance requirements in partnership with business stakeholders and data stewards

· Own the development of business glossary, lineage, and metadata artefacts using tooling such as Microsoft Purview to improve clarity, discoverability, and control

· Help establish and coach Data Stewards / Champions, supporting understanding of their responsibilities, governance forums, and issue management processes

· Prepare governance inputs and reporting for Data Council and domain working groups, including status updates, risks, issues, decisions, and remediation actions

Delivery, Assurance & Stakeholder Enablement

· Coordinate across business, data, engineering, risk, and vendor teams to ensure deliverables are complete, coherent, and aligned to agreed scope, standards, and timelines

· Support Agile delivery practices, including backlog refinement, dependency management, story elaboration, and delivery traceability using Azure DevOps, Jira or equivalent tooling

· Perform quality assurance activities including requirements reviews, test execution support, defect triage, and validation of delivered outputs against agreed business needs

· Develop stakeholder materials, training inputs, and business guidance to support adoption of delivered data products, reporting assets, and governance practices

· Gather user feedback and operational insight to drive continuous improvement in usability, trust, control effectiveness, and business adoption

Representative Deliverables

· Requirements & Traceability Pack: Clear, prioritised business, data, reporting, and control requirements with user stories, acceptance criteria, and end-to-end traceability

· Prioritisation artefacts including backlog, RAID, dependency logs, and decision papers to support transparent planning and stakeholder decisions

· Process, data flow, and source-to-target artefacts to support design, implementation, and control validation

· Data Lake delivery artefacts, including source onboarding requirements, data product definitions, reconciliation criteria, and sign-off inputs

· Enterprise BI artefacts, including KPI definitions, report inventories, dashboard requirements, validation rules, and business sign-off materials

· UAT and testing deliverables including scenarios, test cases, defect logs, and execution support to ensure solutions meet agreed requirements and quality standards

· Data quality, critical data elements (CDEs), glossary, lineage, and governance documentation to support stewardship, transparency, and operational control

· Governance reporting, workshop outputs, and stakeholder communications to support decision-making, adoption, and continuous improvement

Guidance and training materials to support business users and emerging data stewards in adopting data governance practices and using data products effectively

Required Qualifications and Experience -

Essential Knowledge & Experience

• Demonstrable experience in Business Analysis within data and analytics programmes, ideally in financial services, with strong capability in requirements elicitation, facilitation, stakeholder engagement, and change delivery

• Proven experience delivering data-focused initiatives, working across business and technology teams to translate requirements into actionable outcomes across the delivery lifecycle

• Strong requirements engineering expertise, including workshop facilitation, process modelling (e.g. BPMN), user stories, acceptance criteria, and non-functional requirements

• Excellent stakeholder management and communication skills, with the ability to engage business heads, data stewards, and technical teams, and translate technical concepts into clear business language

• Experience working in Agile delivery environments (Scrum/Kanban), using tools such as Azure DevOps &/or Jira for backlog management, user story refinement, and delivery tracking

• Experience collaborating with engineering teams delivering solutions on Snowflake, with a working knowledge of SQL for data profiling and validation, and exposure to Power BI in a business-facing or delivery support capacity

• Practical experience of data governance implementation and data management concepts, including data quality rules, critical data elements (CDEs), business glossary, data lineage, data stewardship, and governance forums

• Awareness of risk, control, and regulatory considerations relevant to banking data, with the ability to translate policy or control requirements into business and data requirements

Desirable Knowledge & Experience

• Exposure to data catalogue and governance tooling such as Microsoft Purview, including support for metadata, glossary, and lineage documentation

Qualifications and Certifications (Essential and Desirable)

· Post-secondary school education, e.g. Bachelor’s degree or equivalent in a relevant discipline such as Business, Information Systems, Data, or a related field

· Familiarity with DAMA-DMBOK principles and data governance frameworks, including data quality, stewardship, and metadata management practices – preferred

· Additional training or certification in Business Analysis, data analytics, data governance, or agile delivery methodologies – advantageous

· Beneficial Professional certifications (or working towards), such as:

o BCS International Diploma in Business Analysis

o IIBA CBAP / CCBA

o DAMA CDMP (Certified Data Management Professional)

o Microsoft Power BI Data Analyst Associate

Agile certifications (e.g. Scrum, SAFe)