Location
Hybrid – Clearwater Court, Reading

Hours
36 hours per week, Monday to Friday

Salary
Up to £60,000 per annum, depending on experience

About the Role
As a Data Business Analyst at Thames Water, you will play a key role within the Data function, working across the organisation to proactively understand, capture, and catalogue the demand for data solutions. Acting as the bridge between business stakeholders and technical delivery teams, you will translate business needs into clear, actionable requirements and user stories that enable the successful delivery of data products and services. You will work closely with stakeholders, data engineers, analysts, and other data professionals to ensure data initiatives align with business objectives and deliver measurable value.

You will take ownership of requirements from early concept through to detailed definition, applying Agile methodologies and Product Owner principles to drive the development of high-quality, reusable data solutions that support Thames Water’s strategic goals.

Key responsibilities include capturing and documenting data requirements via the Data Front Door project request process, translating high-level business concepts into detailed user stories and acceptance criteria, collaborating with stakeholders to ensure alignment with business objectives, acting as an Agile Product Owner, facilitating workshops, supporting prioritisation and management of work across data squads, and maintaining comprehensive project documentation. You will promote best practices in requirements management, stakeholder engagement, and Agile delivery while contributing to continuous improvement of data processes, governance, and service delivery.

This role offers the opportunity to support the development of data products and services that enable informed business decision-making and deliver value that meets stakeholder expectations and supports business outcomes.

Experience
Proven experience as a Data Business Analyst or in a similar role delivering data-focused initiatives and projects. Hands-on experience working within Agile delivery environments and acting as a Product Owner. Experience facilitating workshops, gathering requirements, and documenting business processes and data needs.

About you
Strong analytical and problem-solving skills with the ability to interpret complex information and translate it into actionable outcomes. Excellent stakeholder management skills with the ability to build and maintain effective working relationships across all levels of the organisation. Strong communication and presentation skills, able to explain complex technical concepts to non-technical audiences. Ability to work independently while collaborating effectively within cross-functional teams. Strong organisational skills with a structured and methodical approach. A strategic mindset with the ability to align data initiatives to wider business objectives. Commitment to delivering high-quality outcomes and continuous improvement.

Qualifications
Proficiency in SQL with a willingness to further develop technical and analytical capabilities. Strong understanding of data management, data governance, and analytics principles. Experience creating user stories, acceptance criteria, process maps, and project documentation. Knowledge of data mapping, requirements elicitation techniques, and business analysis methodologies. Experience working with Agile tools and frameworks to manage backlogs, priorities, and delivery activities. Understanding of how data solutions support business processes and operational decision-making.

Desirable qualifications and experience
Experience in the water, utilities, or waste management sectors. Knowledge of enterprise systems and platforms used within large organisations. Experience supporting data transformation programmes and enterprise-wide data initiatives. Understanding of data governance, master data management, and data quality improvement practices.

Desirable technical skills and qualifications
Experience working with SAP, Salesforce, Azure, ESRI, GIS, Databricks, or similar enterprise platforms. Professional Business Analysis, Agile, or Product Owner certifications. Degree in Business Analysis, Data Analytics, Information Systems, Computer Science, or a related discipline. Familiarity with modern data platforms, cloud technologies, and analytics environments.