Mid-Level Business Analyst

Salary: £? - ? per year

Requirements:

• Solid Business Analyst experience within data transformation programmes
• Strong requirements gathering and documentation skills
• Experience working with data models and data management
• Business process modelling and workflow design
• Experience supporting data migration projects
• User story creation and backlog management
• Strong workshop facilitation and stakeholder management skills
• Good written and verbal communication
• Comfortable working across both technical and business teams
• Experience in any of the following would be beneficial: Reference Data or Master Data Management (MDM), CMS implementation, metadata management, data governance, enterprise data platforms, data quality

Responsibilities:

• Document current and future-state processes
• Run workshops with business and technical stakeholders
• Gather and document business, functional and migration requirements
• Support the design of a new Reference Data operating model
• Map dataset dependencies and assess upstream/downstream impacts
• Develop migration plans and work with delivery teams to coordinate execution
• Create user stories, acceptance criteria and supporting documentation
• Carry out process mapping, gap analysis and impact assessments
• Support testing, validation and business readiness
• Work with stakeholders to maintain alignment and keep delivery moving
• Help the programme establish its future-state Reference Data model and operating processes
• Define migration waves and support the move from multiple legacy datasets to a single strategic solution

Technologies:

• CMS
• Support

More:

We are hiring a Mid-Level Business Analyst for a 12-month contract role on a major Reference Data Transformation Programme. This is a hybrid position, with 2 days per week in our London office, starting ASAP. The rate is £400-£450 per day, inside IR35. You will join a hands-on data-focused team working across Product, Data, Engineering and Operations to support process improvement, migration and stakeholder engagement as we move from multiple legacy datasets to a single strategic platform and operating model.

last updated 40 week of 2026