Data Business Analyst

Stott and May; England; Hybrid; GBP 80,000 - 105,000; Full time

Job summary

Stott and May Inc. in the United Kingdom is seeking an experienced Data Business Analyst to support a data-intensive transformation programme.

You will translate business discovery into Epics, User Stories and acceptance criteria, collaborating with business stakeholders and technical teams across the full delivery lifecycle. The role requires mapping data flows, defining data requirements, and supporting testing and data migration activities.

Qualifications

• Proven experience as a Data Business Analyst in a data-intensive change or transformation programme.
• Experience taking requirements from discovery through to detailed User Stories, acceptance criteria, backlog refinement and delivery support.
• Strong understanding of business processes and translating these into data requirements and testable outcomes.
• Hands-on experience with data flows, source/target analysis, field-level mapping, transformation rules, data validation, profiling or data quality.
• Experience supporting data migration, reconciliation, provisioning, integration, analytics or reporting.
• Experience working with Product, Architecture, Engineering and QA teams in iterative delivery environments.
• Exposure to SIT, defect triage and UAT support.
• Strong workshop facilitation, documentation and communication skills.

Responsibilities

• Facilitate discovery sessions with stakeholders to understand business outcomes and target processes.
• Map data creation, usage, sharing, and dependencies across processes and systems.
• Document current and target state processes, data flows and definitions.
• Translate requirements into Epics and detailed User Stories with traceability.
• Define data requirements including ownership, attributes, Mappings and validation criteria.
• Support data profiling and identify data quality issues and remediation needs.
• Collaborate with Data Architects, Engineers and QA to refine backlogs and designs.
• Capture data migration and integration requirements for cutover activities.
• Support SIT and testing with data scenarios and test data requirements.
• Maintain involvement through design, build and testing, aiding defect triage and validation.
• Coordinate across business, technical and supplier teams to document dependencies and decisions.

Skills

Data analysis

Stakeholder engagement

Backlog refinement

User stories

Acceptance criteria

Data flows

Data validation

SIT/UAT support

Workshop facilitation

Communication skills

Tools

Jira

Confluence

SQL

Databricks

Azure

Job description

Data Business Analyst

Location: Hampshire – occasional onsite attendance a few times per month Contract: Initial 6 months Rate: £500 per day, Outside IR35

Role Overview

We are looking for an experienced Data Business Analyst to support a data-intensive transformation programme, taking requirements from initial business discovery through to detailed design, build and testing. You will work across the full delivery lifecycle, developing an understanding of business processes and the data underpinning them before translating this into clear, delivery-ready Epics, User Stories and acceptance criteria. You will act as the link between business stakeholders and technical delivery teams, ensuring data requirements are understood, documented and testable.

Key Responsibilities

• Facilitate discovery sessions with Product Owners, business users, process leads and data owners to understand business outcomes, current processes and target ways of working.
• Map how data is created, used and shared across processes and systems, identifying key data entities, sources, consumers, dependencies and manual workarounds.
• Document current-state and target-state processes, data flows and definitions.
• Translate business and data requirements into L2 Epics and detailed L3 User Stories, with clear acceptance criteria and traceability.
• Define and validate data requirements, including business definitions, ownership, attributes, source-to-target mappings, transformation rules and validation criteria.
• Support data profiling and identify data quality, completeness, reconciliation and exception-handling requirements.
• Work with Data Architects, Data Leads, Engineers and QA teams to review designs, refine backlogs and ensure requirements are ready for delivery.
• Capture requirements relating to data migration, cleansing, provisioning, integration, reconciliation and cutover where relevant.
• Support SIT and other testing activities by defining data scenarios, expected outcomes and test-data requirements.
• Remain involved throughout design, build and testing, clarifying requirements, supporting defect triage and validating delivered outcomes.
• Coordinate across business, technical and supplier teams, ensuring dependencies, risks, assumptions and decisions are clearly documented.

Essential Experience and Skills

• Proven experience as a Data Business Analyst within a complex, data-intensive change or transformation programme.
• Experience taking requirements from stakeholder discovery through to detailed User Stories, acceptance criteria, backlog refinement and delivery support.
• Strong understanding of business processes and the ability to translate these into clear data requirements and testable outcomes.
• Hands-on experience with data flows, source and target analysis, field-level mapping, transformation rules, data validation, profiling or data quality.
• Experience supporting areas such as data migration, reconciliation, MDM, provisioning, integration, analytics or reporting.
• Experience working with Product, Architecture, Engineering and QA teams in iterative delivery environments.
• Exposure to SIT, defect triage and UAT support.
• Strong workshop facilitation, documentation and communication skills, with the ability to engage both business and technical stakeholders.

Desirable Experience

• Experience working on multi-domain, multi-region or regulated transformation programmes, particularly within retail, clinical, healthcare or financial services.
• Exposure to customer or product MDM, single customer views, data governance, data migration or regional data requirements.
• Familiarity with Jira, Confluence, SQL and data-profiling tools.
• Exposure to cloud data platforms such as Azure or Databricks.