- Work proactively with stakeholders to understand opportunities for analytics to add value, taking a business partnering approach to add maximum value
- Develop models with the available data to understand our assets providing baselines against which the asset performance can be measured.
- Undertaking enterprise asset performance monitoring, using available data and tools to identify optimisation opportunities.
- Utilise your network, catalogues, and data architecture models to source the relevant data. Collecting or inferring new data where appropriate
- Combine datasets using coding languages and statistics, being able to reverse engineer data models and understand common data modelling practices.
- Create compelling visualisations using a strong understanding of applied User Experience principles, translating complex data into understandable information to support business decisions using the most suitable medium
- Good data handling skills - analysis and interpretation
- Demonstratable experience of applying strong maths and IT skills to create analytics products
- Excellent technical skillset- competent user of IT, new technologies and good knowledge of Microsoft excel & Power BI
- Strong stakeholder management skillset - ability to influence and persuade multi-disciplinary teams
- Experience of creating and communicating compelling data visualisations aligned to business goals that inform decisions and drive action
- Excellent communication skills- both written and verbal
- Agile - someone who can adapt to the business needs when required
- Full driving license
- Personal private health care
- Virtual GP for your household
- 23 days annual leave - rising with length of service rising with length of service as well as bank holidays with the option to swap Christmas and Easter holidays for those celebrated by your religion
- Flexible working dependent on your role
- Competitive pension scheme - Anglian Water double-matches your contributions up to 6%
- Bonus scheme
- Flexible benefits to support your wellbeing and lifestyle
- PPE and all tools provided
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Data Analyst - Peterborough, Cambridgeshire, United Kingdom - Anglian Water
Description
Data Analyst - Optimisation/ Water Recycling
£32,000 - circa depending on skills and experience
Permanent, full time.
Based within the Anglian Water region- hybrid working (mixture of office and homeworking with possible site visits)
Dive into a world of opportunity
Water Recycling is at the heart of our operations. The key services that we are responsible for are delivered by our in-house, highly skilled workforce. We collect and treat the water that customers have used, returning it to the environment via rivers and coastal outlets. Our network includes 76,000 kilometres of sewers which feed over 1,000 water recycling centres.
What you will be doing?
As a Data Analyst, you will play a key role in providing reliable, timely and concise insight to the Optimisation team, helping ensure that Anglian Water becomes as operationally efficient as possible. You will use and hone your data analysis skills assisting in the identification of opportunities, validation of interventions and sustaining of cost savings across the Anglian Water asset base.
Key responsibilities include:
What does it take to be a Data Analyst?
As a valued employee, you'll be entitled to:
Inclusion at Anglian Water
Join us and make a difference. Our customers come from a wide range of backgrounds, and we think our workplace should reflect that. We are committed to making sure all our colleagues feel they belong and are supported to succeed. Together with our fellow water companies, we are committed to the Social Mobility Pledge; we are also a signatory to Business in the Community's Race at Work charter; we hold the Armed Forces Gold Covenant for Employers; we are an accredited Disability Confident employer and we play a leading part in the Women's Utility Network.
If you are a passionate and analytical individual looking to make a meaningful impact, we encourage you to apply for this exciting opportunity to join our team as a Data Analyst.
Closing date: 30th April 2024
Interview Date: 22nd Wednesday May 2024
#loveeverydrop
