People MI Analyst

Salary - £38,346 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.

• 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
• MyGymDiscounts - 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

We’re excited to offer an opportunity for a People MI Analyst to join our People team. In this role, you’ll be at the heart of data-driven decision-making, turning complex people data into clear, actionable insight that shapes strategy across the business.

You’ll deliver high-quality monthly and ad-hoc reporting, uncover trends and patterns across multiple data sources, and play a key role in maintaining and evolving our HR systems—particularly SAP SuccessFactors. If you enjoy combining analytical depth with real business impact, this role offers both challenge and visibility.

• Deliver accurate monthly and ad-hoc People MI reporting, analysing trends and providing clear, actionable insight to support decision-making.
• Maintain, enhance and optimise HR systems, primarily SAP SuccessFactors, including organisational structures and system changes.
• Ensure high standards of data integrity through audits, validation, data-cleansing and continuous improvement activities.
• Support key cyclical processes such as pay review, bonus, flex benefits and annual leave, ensuring data accuracy throughout.
• Design and maintain dashboards and visualisations that communicate insights effectively.
• Develop automated workflows and reporting processes to improve efficiency and reduce manual effort.

You’ll be a highly analytical problem-solver who enjoys working with data and influencing decisions through insight.

Essential Skills & Experience

• Strong numerical and analytical capability with a natural curiosity for data.
• Proven ability to translate complex datasets into meaningful management information.
• Advanced Excel skills, including complex formulas.
• Working knowledge of Power BI or Tableau, PowerQuery, SQL and/or Alteryx.
• Experience working with HR systems and datasets, ideally SAP SuccessFactors.
• Confident communicator, able to tailor insights to technical and non-technical audiences.
• Strong problem-solving skills with the ability to investigate issues and propose practical solutions. 

• Qualified to a minimum level of A-Levels (or equivalent) in relevant disciplines - such as mathematics, computer science, data science