At a Glance
- Tasks: Analyse risk data and support smart investment decisions for a sustainable future.
- Company: Join United Utilities, a leading FTSE 100 company committed to a greener North West.
- Benefits: Enjoy 26 days annual leave, competitive pension, healthcare, and gym discounts.
- Other info: Dynamic hybrid work environment with excellent career growth opportunities.
- Why this job: Make a real impact by translating complex data into actionable insights for our customers.
- Qualifications: Degree in GIS, Data Science, or related field; strong analytical and GIS skills required.
The predicted salary is between 44813 - 54771 £ per year.
Salary - 51,233
Work Type - Hybrid
Job Location - Lingley Mere (UU), Lingley Green Avenue, Great Sankey, Warrington, WA5 3LP
Role Type - Permanent
Employment Type - Full Time
Working Hours - 37.0 Hours per Week
United Utilities’ (UU) purpose is to deliver great water for a stronger, greener and healthier North West of England. We are committed to providing our services in a way that respects the environment, supports the economy, and benefits society.
We value diversity, inclusion and innovation in our workplace, and we foster a culture where our people can grow, excel, and be themselves. We uphold our ethics, values and business model to fulfil our mission and, by setting clear goals and objectives, we create sustainable long-term value for our colleagues, customers and communities.
Whether you work with a team that shares your vision or join a network of peers with similar interests, you will find a welcoming and supportive organisation to be part of.
We’ve got a lot to offer. You’ll be part of a thriving FTSE 100 company and will enjoy a range of core benefits that reflect your value and value contribution.
Benefits
- A generous annual leave package of 26 days, which increases to 30 days after four years of service (increases one day per year), in addition to 8 bank holidays
- A competitive pension scheme with up to 14% employer contribution, 21% combined, and life cover
- Up to 7.5% performance-related bonus scheme, as well as recognition awards for outstanding achievements
- A comprehensive healthcare plan through our company-funded scheme
- MyGym Discounts - gym and wellness benefit that offers up to 25% off on gym memberships and digital fitness subscriptions
- Best Doctors
- Salary Finance
- Wealth at Work courses
- Deals and discounts
- EVolve Car Scheme
- Employee Assistance Plan
- Mental health first aiders
- ShareBuy
- MORE Choices flexible benefits
- Enhanced parental leave schemes
This role sits at the heart of how we make smart, responsible decisions for our customers. As the Decision Support Analyst within Risk and Asset Planning, you will support the Risk and Asset Planning Manager in developing the analytical insight to enable the business to understand, quantify and manage risk across thousands of assets.
Working across Operations, Engineering, Asset Management and Finance, you will combine statistical analysis and geospatial intelligence to help identify where investment will deliver the greatest benefit for customers.
A key part of the role is supporting and continually developing our ArcGIS Online Risk Management System, ensuring risk information is accurate, insightful and trusted across the organisation.
While this is a technical role, you'll also play an important part in translating complex data into clear, practical insight that supports confident decision making. Your work will help shape long-term asset planning and support value-based investment decisions.
Working alongside colleagues responsible for value frameworks and asset health, you'll provide the trusted analytical evidence that underpins strategic investment decisions and delivers long-term value for our customers.
What You Will Be Doing:
- Manage, analyse and assure risk information within the ArcGIS Online Risk Management System, ensuring high standards of data quality, governance and integrity.
- Develop county-level risk insight and long-term planning information that supports sustainable investment strategies across the region.
- Support the development and continual improvement of asset class strategies by providing robust analytical evidence, performance insight and risk-based recommendations.
- Develop automated and semi-automated analytical processes that identify anomalous or unexpected risk values, improving confidence in risk information.
- Develop dashboards, reports, maps and visualisations that communicate analytical insight effectively.
- Support value optimisation activities by providing risk-based analytical evidence that informs investment prioritisation in Copperleaf.
- Support the continual development of the Asset Management System and Risk & Asset Planning capability, ensuring alignment with ISO55000 principles and business objectives.
What We Are Looking For:
- Degree (or equivalent professional experience) in GIS, Data Science, Statistics, Mathematics, Engineering, Computer Science, Environmental Science or another analytical discipline.
- Proven experience delivering technical analytical solutions that support evidence-based decision making, with excellent analytical and statistical skills and the ability to interpret complex datasets.
- Strong GIS and geospatial analytical capability are essential, including experience using ArcGIS (preferably ArcGIS Online) to analyse, manage and communicate spatial information.
- Strong SQL capability is essential, including experience querying and analysing large datasets using enterprise database platforms such as Exasol, Databricks or equivalent, together with advanced experience using Power BI and Microsoft Excel to develop dashboards, reports and analytical insight.
- A good understanding of risk management principles and how organisations use evidence to manage uncertainty, support long-term planning and make informed investment decisions.
- Excellent planning and organisational skills, with the ability to manage multiple priorities, deliver high-quality analytical outputs and continually improve ways of working.
- Self-motivated, inquisitive and innovative, with a passion for using data and analytics to solve complex business problems.
Ideal To Have But Not Required:
- Experience using FME Workbench for geospatial data transformation, automation and integration.
- Experience using Python for statistical analysis, automation or geospatial processing.
- Knowledge of Asset Management principles, including familiarity with ISO 55000/55001, and an understanding of how analytical insight supports long-term investment planning and value optimisation.
We rely on every employee to ensure our customers receive the best possible service, day in, day out. In return, we ensure that you will be well rewarded for your efforts, from an excellent salary through to development opportunities that will really kick start a thriving career here at UU.
Risk and Asset Planning Analyst in Olney employer: United Utilities
United Utilities is an exceptional employer, offering a dynamic work environment where commercial professionals can thrive while contributing to vital infrastructure projects that benefit communities across the North West. With competitive salaries, flexible working arrangements, and robust career development opportunities, we empower our employees to grow and make a meaningful impact in their roles. Join us to be part of a purpose-driven organisation that values innovation and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Risk and Asset Planning Analyst in Olney
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We think you need these skills to ace Risk and Asset Planning Analyst in Olney
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at United Utilities
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
