Visualisation and Data Analyst

Salary: From £34,500 (dependent on skills and experience)
Permanent, Full time, 37 hours per week

Base Location is flexible with travel required across the Anglian Water region.

Our services are at the heart of every single family and community in our region. Our Water Services team clean water to the highest standard, deliver it to millions of homes, and carefully manage it to ensure it never runs out. We borrow water from the environment, store it and treat it to world-class standards to supply safe drinking water to 4.3 million customers in towns and villages from Grimsby in the northeast of our region to Milton Keynes at the south-western tip.

In collaboration with the Maintenance Data team, the Visualisation & Data Analyst will take a leading role in the evaluation, and ongoing review of maintenance. You will support the development of performance analysis frameworks and data visualisation tools, applying your analytical expertise to generate actionable insights into the performance of Water Supply assets and the associated abstraction, treatment, pumping, and storage processes.

Key Responsibilities:

• Work with subject matter experts to visualise operational performance and risk using PowerBI and other visualisation tools.

• Develop reports with user experience in mind, gathering feedback to drive continuous improvement.

• Champion Cyber Security and GDPR compliance within Water Supply and the analyst community.

• Act as Power BI and visualisation expert for Water Supply, ensuring reporting adheres to standards.

• Support wider Water Business stream in automated reporting and visualising risks across team boundaries.

• Provide feedback to stakeholders to drive action plans and improvements.

• Ensure reporting drives outcomes and deliverables.

• Escalate identified operational and business risks appropriately.

• Establish data ownership and verify business acceptance of data sources.

• Develop performance measures to support maintenance reporting.

• Support teams with visual reporting to track mitigation efforts and emerging threats.

• Analyse datasets to identify patterns, trends, and risks.

• Engage with operational colleagues and subject matter experts to support and drive the performance analytics

Requirements:

• Level 3 equivalent in Data Science or Data Analytics.

• Strong operational knowledge of abstraction, treatment, transmission and storage of potable water

• Experienced user of Power BI and data visualisation development

• Appropriate professional qualification (e.g. CIWEM) advantageous

• Experience in assessing risk and responding appropriately

• Excellent IT skills including SAP, IRIS, Oracle

• Good communication skills and ability to effectively deal with a range of stakeholders

• Ability to prioritise workload and adapt to operational demands

• Proven leadership and team enablement skills

• Highly developed analytical and strategic thinking skills

We invest in our people - as a valued employee, you’ll be entitled to:

• Personal private health care

• Generous double match pension – contribute 7% and Anglian Water will contribute 14%, giving a total contribution of 21%

• 24-hour Virtual GP service for you and your household

• 26 days annual leave – rising with length of service and the ability to buy more

• Life assurance (up to 8 x salary)

• Personal accident cover (up to 5 x salary)

• Excellent family friendly policies, such as 26 weeks full pay for maternity / adoption leave, as well as 4 weeks paid paternity / partner leave. Opportunity for shared parental pay

• Bonus scheme

• Flexible benefits and working culture to support your wellbeing and lifestyle.

Why Anglian Water?

Anglian Water is not your typical water company. What we do really matters. Water is the lifeblood of our world and we’re proud of the difference we make. We put people at the heart of our business and we truly love what we do!

If you’re passionate about what you do and would like to make a difference then we’d love to hear from you.

Closing date: 18/09/2026

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