Base: circa £33,231; bonus/equity: annual bonus sc...
Hybrid
Apply analytical techniques
Develop subject matter expertise
Interpret data for reporting
AWG is seeking a Data Analyst to support their Quality, Environment and Assurance directorate in delivering safe drinking water and environmental insights. The role requires strong analytical skills and the ability to translate complex data into actionable insights for stakeholders
Job Summary
The Data Analyst is a key role working with stakeholders across the Quality, Environment and Assurance directorate to deliver safe, clean drinking water and environmental prosperity through data and information.
Key responsibilities include preparing, validating, and submitting statutory, regulatory, and financial returns, supporting sampling programmes, and extracting and analysing asset and environment data for stakeholders.
As a valued employee you’ll be entitled to a competitive pension scheme, private healthcare, an annual bonus scheme, and 25 days holiday (plus Bank Holidays).
Matching Summary
Match Score: 85
AWG is seeking a Data Analyst to support their Quality, Environment and Assurance directorate in delivering safe drinking water and environmental insights. The role requires strong analytical skills and the ability to translate complex data into actionable insights for stakeholders.
Salary
Base: Circa £33,231; Bonus/Equity: annual bonus scheme; Benefits: competitive pension scheme, private healthcare, 25 days holiday, life cover, flexible benefits
Skills & Requirements
Must-have
Apply analytical techniques
Develop subject matter expertise
Interpret data for reporting
Ensure statutory data returns
Support sampling programmes
Translate data into insights
Nice-to-have
Collaborate across analytics community
Build strong stakeholder relationships
Innovative ways to turn data into usable information
Key Requirements
Strong experience with relevant data types and analytics products
Understanding of environmental, operational, or regulatory frameworks
Logical, analytical, and effective communicator
Ability to cleanse and synthesise data and create compelling visualisations
Experience translating business need into analytics opportunity
Takes ownership, builds rapport, and seeks feedback for improvement