Data Business Analyst

Stott and May Consulting; England; On-site; GBP 40,000 - 65,000; Full time

Job summary

Stott and May Consulting is seeking an experienced Data Business Analyst to join a major data transformation programme in the UK. You will translate business needs into clear data requirements, Epics and User Stories, and work closely with stakeholders and engineering teams to deliver data-driven solutions.

The role involves discovery workshops, mapping data flows, validating transformations, and supporting data migration and cutover activities within an Agile delivery environment.

Qualifications

• Experience translating business needs into detailed data Epics and User Stories.
• Strong requirements gathering and stakeholder management skills.
• Hands-on experience with data flows, source-to-target mappings and data quality.

Responsibilities

• Lead business discovery workshops to understand processes, data requirements and outcomes.
• Analyze current and target-state processes, data flows, systems and dependencies.
• Translate requirements into data Epics, User Stories and acceptance criteria.
• Produce source-to-target mappings, transformation rules and data definitions.
• Address data quality, governance, reconciliation and integration requirements.
• Support data migration, provisioning, cleansing and cutover activities.
• Collaborate with architects, engineers, PO and QA to ensure delivery-readiness.
• Support SIT, UAT and defect management throughout the lifecycle.
• Maintain traceability and manage risks, issues and dependencies.
• Work in Agile delivery environments with Product Owners and cross-functional teams.

Skills

Data analysis

Requirements gathering

Stakeholder management

Agile delivery

Data quality

Tools

Jira

Confluence

SQL

Azure

Databricks

Job description

Location: 2-3 times per month in Hampshire

Outside IR35 - statement of work

The Opportunity

We are seeking an experienced Data Business Analyst to join a major data transformation programme.

You will work across the full delivery lifecycle, translating business needs into clear, actionable data requirements, Epics and User Stories. Working closely with business stakeholders and technical delivery teams, you will support initiatives from initial discovery and requirements definition through to design, build and testing.

Key Responsibilities

• Lead business discovery workshops to understand processes, data requirements and desired outcomes.
• Analyse current and target-state processes, data flows, systems and dependencies.
• Translate business requirements into detailed data Epics, User Stories and testable acceptance criteria.
• Produce and validate source-to-target mappings, transformation rules, data definitions and validation requirements.
• Identify and address data quality, governance, reconciliation and integration requirements.
• Support data migration, provisioning, cleansing and cutover activities.
• Work with architects, engineers, Product Owners and QA teams to ensure requirements are delivery-ready.
• Support SIT, UAT, defect triage and validation throughout the delivery lifecycle.
• Maintain requirements traceability and manage assumptions, risks, issues and dependencies.
• Proven experience as a Data Business Analyst on complex data transformation programmes.
• Strong requirements gathering, workshop facilitation and stakeholder management skills.
• Experience translating business needs into detailed requirements, Epics, User Stories and acceptance criteria.
• Hands-on experience with data flows, source-to-target mapping, transformation rules and data quality.
• Understanding of data migration, reconciliation, MDM, provisioning, integration or analytics.
• Experience working with Product Owners, architects, engineering and QA teams in Agile delivery environments.
• Exposure to SIT, UAT and defect management.
• Strong analytical, documentation and communication skills.
• Experience within retail, healthcare, clinical or financial services environments.
• Multi-domain or multi-region transformation experience.
• Knowledge of customer/product MDM and data governance.
• Familiarity with Jira, Confluence, SQL, Azure or Databricks.