Data Transformation 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

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.