Leakage Performance & Data Analyst (Hybrid)

Thames Water; Kidlington; Hybrid; GBP 34,000 - 38,000; Full time

Benefits offered by this job

Salary

Annual leave

Pension

Benefits package

Job summary

Thames Water is hiring a Leakage Optimisation Analyst to monitor leakage performance, drive corrective actions, and support active detection in a defined area. The role involves using Netbase, PI Vision and Salesforce, and coordinating with field resources to improve delivery.

You will contribute to backlog prioritisation and data quality, with a hybrid 36-hour week based at Kidlington Depot. A driver’s licence and willingness to travel would be advantageous.

Qualifications

• Effective communication skills for collaborating with internal and external stakeholders.
• Good analytical and problem-solving abilities are essential.
• Desire to learn and progress within Thames Water.

Responsibilities

• Monitor leakage performance in the assigned area using Netbase, PI Vision and Salesforce and raise work to resolve issues.
• Follow NetAlytics targeting processes to support leakage detection and contractor performance.
• Create and assign campaign packs to leakage detection partners to support technician performance management.
• Raise and report DMA faults to maintain availability and accurate targeting.
• Collaborate with Leakage Engineer to identify improvements and flag data anomalies.
• Assist with data quality by keeping network information up to date, including DMA targets and logger visibility.
• Provide cover for the Leakage Optimisation Engineer and support leakage action and risk plans.

Skills

Analytical skills

Communication skills

Problem-solving

Willingness to learn

Tools

Netbase

PI Vision

Salesforce

Job description

Thames Water is hiring a Leakage Optimisation Analyst to monitor leakage performance, drive corrective actions, and support active detection in a defined area. The role involves using Netbase, PI Vision and Salesforce, and coordinating with field resources to improve delivery.

You will contribute to backlog prioritisation and data quality, with a hybrid 36-hour week based at Kidlington Depot. A driver’s licence and willingness to travel would be advantageous.