Senior Income Analyst Predictive Analytics

Salary - £24,069.00 Work Type - Onsite Job Location - Lingley Mere (UU), Lingley Green Avenue, Great Sankey, Warrington, WA5 3LP Role Type - Permanent Employment Type - Part Time Working Hours - 22.2 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
• 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

Job Purpose

We have a great opportunity for a Senior Income Analyst (Predictive Analytics) to join us and support the Income senior leadership, operational management and their teams by providing the relevant analysis and reporting to enable the effective management of the Income and Customer business areas.

Using data from our In-house systems and from third parties, you will develop in-depth analysis to support customer affordability and vulnerability models.

You will have the relevant skills to develop predictive scorecards to enable selection of the most appropriate strategic next best action for customer accounts. You will develop, deploy and carry out retrospective analysis on these scorecards to enable optimisation of their predictive strength.

Accountabilities & Responsibilities

• Work together with the functional area, develop and deploy reporting in the form of Dashboards, spreadsheets, predictive models and any other appropriate platforms to support the various Income functional areas.
• Develop and deploy predictive models enabling optimised collections strategies
• Develop SQL data views ready for production and support the Central Data team in timely deployment.
• Pro-actively identify reporting and operational opportunities, highlighting them to the team and providing the reporting required to support business change.
• Regularly review existing reporting and productionised data tables to ensure that they remain relevant and accurate.
• Provide cover when required for other analysts.

Technical Skills & Experience

• Ability to analyse and interpret information and able to make sound and timely decisions based on analysis.
• Experience with database environments and data set manipulation particularly in Excel, Alteryx, and Exasol/Databricks and SQL development.
• Working knowledge of Power BI, R and/or Python would be an advantage.
• Distinctive problem solving and numerical skills with a high degree of analytical rigour and keen attention to detail.
• Proven track record in data manipulation and interpretation for Management Information
• Excellent attention to detail and track record of demonstrating high standards of accuracy.
• Determination and ability to work to tight deadlines.

• This role may not be eligible for the visa sponsorship

Qualifications

• Educated to degree level in a mathematical, statistical or scientific discipline with at least a 2.1.

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.

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