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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.
About the Role
Job Title: Data Business Analyst
This delivery-focused role supports key data transformation initiatives in a regulated banking environment, including:
- Implementation of an enterprise data lake
- Deployment of a business intelligence (BI) platform
- Establishment of a data governance framework
The Data Business Analyst collaborates closely with the Head of Data, business stakeholders, engineers, and vendors to:
- Translate business needs into clear requirements and trusted data products
- Embed strong governance, stewardship, quality, and control practices from day one
Key Work Outputs & Accountabilities
Discovery & Requirements Engineering
- Lead discovery activities to elicit, analyse, document, and prioritise business, data, reporting, and control requirements—ensuring alignment with strategic objectives and regulatory expectations.
- Translate business problems into structured use cases, epics, user stories, process maps, and acceptance criteria that are clear, testable, and traceable.
- Facilitate workshops, interviews, playback sessions, and decision forums with stakeholders to agree on scope, priorities, assumptions, and dependencies.
- Maintain the product backlog and supporting analysis artefacts, ensuring prioritisation reflects business value, risk, dependencies, 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 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
- Control requirements (Snowflake-based platform)
- Collaborate with data engineering and architecture teams to shape:
- Source-to-target requirements
- Logical data models
- Data product definitions
- Ingestion priorities
- Ensure data lake requirements address:
- Data quality, lineage, reconcilability
- Retention, security, access controls
- Auditability (complying with banking control standards)
- Support source-system onboarding by coordinating business input, profiling needs, issue resolution, and acceptance criteria.
- Validate delivered data lake outputs against requirements for usability, control, performance, and downstream consumption.
Enterprise BI (Power BI)
- Work alongside the Head of Data, data stewards, and engineering teams to coordinate target-state designs for data products.
- Capture and document reporting and analytics requirements, including:
- KPI definitions, dimensional needs
- Drill paths, security controls
- Audience-specific consumption needs
- Define reporting standards and semantic layer requirements, including:
- Dashboard acceptance criteria
- Data-to-report reconciliation controls
- Support rationalisation of legacy reports and transition to a controlled BI estate, identifying:
- Duplication, ownership, critical reports
- Migration priorities
- Ensure BI solutions are trustworthy and adoptable by defining:
- Business-facing metadata
- Usage guidance, validation criteria
- Release readiness requirements
- Coordinate testing and business validation, including:
- Defect triage, requirements clarification
- Sign-off management
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Data Governance & Stewardship Enablement
- Implement data governance practices across domains, embedding:
- Ownership, decision rights
- Controls and stewardship responsibilities
- Define and document critical data elements, data quality rules, business definitions, and governance requirements.
- Develop and maintain:
- A business glossary
- Lineage and metadata artefacts (e.g., using Microsoft Purview)
- Establish and coach Data Stewards / Champions, supporting:
- Understanding of responsibilities
- Attending governance forums
- Issue management processes
- Prepare governance inputs and reporting for:
- Data Council
- Domain working groups
Delivery, Assurance & Stakeholder Enablement
- Coordinate across business, data, engineering, risk, and vendor teams to ensure deliverables are clear, coherent, and aligned with scope and timelines.
- Support Agile delivery practices, including:
- Backlog refinement
- Dependency management
- Story elaboration
- Traceability (Azure DevOps, Jira)
- Conduct quality assurance activities, such as:
- Requirements reviews
- Test execution support
- Defect triage
- Validation of delivered outputs
- Develop stakeholder materials, training inputs, and business guidance to support adoption.
- Gather user feedback and operational insight to drive continuous improvement in usability, trust, and business adoption.
Representative Deliverables
- Requirements & Traceability Pack
- Clear, prioritised business/data/reporting/control requirements
- User stories, acceptance criteria, end-to-end traceability *.
- Prioritisation Artifacts
- Backlog, RAID logs, dependency logs, decision papers
- Process & Data Flow Artifacts
- Source-to-target requirements for design/implementation/controls
- Data Lake Deliverables
- Source onboarding requirements
- Data product definitions
- Reconciliation criteria, escalation paths
- Enterprise BI Deliverables
- KPI definitions, report inventories, dashboard requirements, metadata
- Validation rules, business sign-off materials
- Testing & Validation Artifacts
- UAT scenarios, test cases, defect logs
- Traceability from requirements to execution
- Governance Documentation
- Data quality rules, critical data elements (CDEs)
- Glossary, lineage, governance reporting
- Stakeholder communications, steering groups
- Guidance and training materials for business users
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Required Knowledge & Experience
Essential Qualifications
Strong Business Analysis skills in data and analytics programs within financial services, with proficiency in:
- Requirements elicitation, facilitation, and stakeholder engagement
- Disciplined change delivery
- Experience delivering data initiatives across business and technology teams, translating requirements into actionable outcomes.
Technical Expertise:
- Agile delivery expertise (Scrum/Kanban) using Azure DevOps/Jira for backlog management and refinement.
- Exposure to Snowflake, SQL (data profiling and validation), and Power BI (in both delivery support and business-facing roles).
- Data governance and management concepts:
- Data quality rules, critical data elements (CDEs)
- Business glossary, lineage, stewardship, governance forums
- Awareness of banking-specific risk, control, and regulatory requirements
- Ability to translate regulatory policies into business and data requirements.
Desirable Qualifications
- Exposure to data catalogue governance tooling, such as Microsoft Purview (metadata, glossary, lineage)
- Qualifications/certifications in relevant fields (see below).
Formal Qualifications & Certifications
Essential
- Post-secondary school education: Bachelor’s degree or equivalent in:
- Business, Information Systems, Data, or related discipline.
Preferred
- Familiarity with DAMA-DMBOK principles and data governance frameworks, including data quality, stewardship, and metadata management.
Desirable
Additional training or certification in:
- Business Analysis, data analytics, data governance, or Agile methodologies
Useful certifications:
| Certification | Organisation |
|---|---|
| BCS International Diploma in Business Analysis | BCS (British Computer Society) |
| IIBA CBAP (Certified Business Analyst Professional) | International Institute of Business Analysis (IIBA) |
| IIBA CCBA (Certified Communication Banking Analyst) | International Institute of Business Analysis (IIBA) |
| DAMA CDMP (Certified Data Management Professional) | DAMA International |
| Microsoft Power BI Data Analyst Associate | Microsoft |
| Agile/Scrum certifications (e.g., Scrum master, SAFe) | Scrum Alliance, Scrum.org, or Scaled Agile Framework |
Hybrid Working & Location
- Flexible Arrangement: 3 days on-site (City of London), 2 days remote
- Contract Type: Permanent
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Skills
Requirements Engineering
Stakeholder Management
Data Governance
SQL
Power BI
Snowflake
Agile Methodology
Process Modelling
UAT Coordination
Data Profiling
Business Analysis
Data Stewardship