Data Business Analyst
Listed on 2026-06-21
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Warehousing, IT 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. BACB has 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
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 AccountabilitiesDiscovery & 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
- 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
- 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…
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