Senior Analyst

Overview

• Transform complex data into critical insights guiding a multi-million-pound strategic programme
• Act as the technical authority for the programme, shaping the approach from the ground up
• Lead data, monitoring, and analytics roadmap, architecting systems as the single source of truth for infiltration
• Pioneering advanced analytical capabilities using machine learning, statistical modelling, and GIS to predict and pinpoint infiltration hotspots
• Act as the primary owner and technical lead for the Infiltration Detection Analysis Tool (IDAT)
• Design, build, and champion the programme’s central Infiltration Dashboard
• Own the benefit realisation methodology translating physical outcomes into auditable financial and regulatory benefits
• Act as the internal advocate for analytical rigour, bridging the gap between raw technical data and operational delivery teams

Requirements

• Extensive analytical experience within a complex, asset-intensive organisation
• Proven track record of extracting actionable insights from disparate datasets
• Experience in a technical leadership capacity, with the ability to oversee task allocation, conduct peer reviews, and mentor junior or mid-level team members
• Advanced proficiency in relational databases and programming or querying languages such as SQL, Python or R
• Experience with enterprise visualisation platforms like Power BI or Tableau
• Strong practical understanding of data science methodologies, including predictive modelling and spatial mapping/GIS software
• Demonstrate a strategic mindset, with the capability to design long-term data architecture and translate complex findings into clear, compelling narratives for non-technical senior stakeholders
• Experience in the utilities, environmental science, hydrogeology, or engineering sectors
• Familiarity with telemetry data, environmental monitoring networks, and catchment-level asset performance tracking
• Supported by a degree in a highly quantitative discipline, such as Data Science, Engineering, Computer Science, Mathematics, or Statistics.

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