Data Performance Analyst; CEC

Hybrid | Warrington | Salary - £51,233 + Exceptional Benefits

Ready to turn complex data into clear, actionable insight that drives programme performance across one of the UK’s largest capital delivery portfolios? At United Utilities, we’re strengthening our Construction, Commissioning and Integration (CCI) capability — and we need a data specialist who can bring clarity, accuracy and forward‑looking intelligence to our decision‑making.

This is your opportunity to step into a role where your analysis directly influences programme adherence, regulatory delivery and the performance of critical infrastructure across the North West.

As our Data Performance Analyst (CCI), you’ll manage, analyse and optimise data quality across CEC systems, ensuring information is accurate, consistent and aligned to the corporate data management framework. You’ll deliver high‑quality MI, dashboards and analytical products that integrate data from multiple sources, providing the Heads of CCI with the insight they need to forecast delivery, manage risk and drive performance improvement.

You’ll play a key role in embedding data governance, improving data quality and ensuring our reporting is reliable, repeatable and decision‑ready.

You’ll be doing things like

• Operating within the CEC data strategy, applying technical tools and processes to support the CCI business model.
• Developing, maintaining and applying data quality rules with data owners and stewards.
• Profiling, analysing and interpreting complex datasets to identify trends, anomalies and data quality issues.
• Designing, building and maintaining dashboards, reports and MI to meet CCI and wider business needs.
• Providing accurate, timely and forward‑looking MI to the Heads of CCI to assess programme adherence and forecast regulatory delivery.
• Developing predictive and trend‑based analysis to identify risks, performance gaps and emerging issues.
• Translating complex data into clear, decision‑ready insight for strategic and operational decision‑
• Using reporting and visualisation tools to present data clearly and effectively.
• Managing and processing high volumes of structured and unstructured data from multiple systems.
• Identifying, prioritising and resolving data quality issues, including root cause analysis and corrective actions.
• Engaging stakeholders to agree mitigation plans, timelines and resolution activities.
• Embedding data governance and quality processes within project delivery and operational activities.
• Championing data quality standards and ensuring adherence across systems and processes.
• Maintaining and updating data libraries, ensuring alignment with information models and traceability.
• Supporting governance forums with accurate, timely and relevant reporting outputs.
• Providing data quality, reporting and analytical advice for both project and BAU activities.
• Assessing downstream impacts of data changes and defining dependency and mitigation plans.
• Leading governance and operational review meetings, driving improvements based on data insight.
• Managing data improvement activities, including logging, categorisation, tracking and delivery of enhancements.
• Conducting scheduled data audits and ensuring resolution of identified issues.
• Identifying process inefficiencies and opportunities for improvement across data flows and reporting.
• Capturing and translating business reporting requirements into analytical solutions aligned to Wholesale data models.
• Contributing to demand and resource planning for data, reporting and analytics activities.
• Ensuring repeatable, auditable processes for identifying and resolving data variances.
• Continuously improving data quality standards and embedding them into BAU processes.

• Strong data analysis capability with the ability to interpret complex datasets and generate actionable insight.
• Experience developing dashboards and reports using tools such as Power BI (or equivalent).
• Proven ability to manage and integrate data from multiple sources and formats.
• High competence in data quality tools, techniques and frameworks.
• Ability to communicate complex technical concepts clearly to non‑technical stakeholders.
• Experience in data…