Data Business Analyst

Pay up to £55,000 plus fantastic benefits, bonus scheme & discounts
This role operates on a hybrid basis, with flexible days spent in the office and flexible working from home. You will need to live within a commutable distance of Milton Keynes.

What will your role look like?

As a Data Business Analyst, you will play a vital role in shaping how data is captured, made available and used across the organisation. Sitting at the centre of our clients data ecosystem, you'll partner with business teams across Operations, Finance and Marketing to translate business needs into clear data requirements.

The Data Business Analyst role brings an exciting opportunity to be part of the team building the data capabilities that are enabling better decision making and enhancing customer experience, operational efficiency and revenue optimisation.

What a Data Business Analyst is responsible for:

• Partner with stakeholders across UK teams as a trusted data advisor.
• Run discovery sessions and workshops to clarify questions and opportunities.
• Translate business needs into data use cases, KPIs, and insight requirements.
• Capture business definitions, context, and metric logic in clear documentation.
• Convert requirements into technical specs (source-to-target mappings, rules, transformations).
• Work with Data Engineers to shape pipelines, integration, and data models.
• Support Agile delivery: backlog refinement, prioritisation, sprint planning, acceptance criteria.
• Define and maintain KPI and metric definitions for consistency.
• Set data quality rules, validation criteria, and operational checks.
• Champion data stewardship, metadata, and governance best practice.
• Partner with BI/analytics teams to ensure data products meet user needs.
• Support UAT, data validation, and troubleshooting of new datasets and pipelines.
• Enable self-service by improving the accessibility and usability of data assets.
• Identify opportunities to drive revenue, efficiency, and guest experience improvements.
• Improve requirements, documentation, testing, and delivery standards.
• Contribute to a scalable modern data platform through reusable standards and assets.