Bringing that feel-good energy. Were the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. Were moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We’re also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state- of-the-art tech to do it. We are looking for a Credit Strategy Analyst to leverage analytics in addressing customer debt obstacles. You will provide actionable insights and strategic recommendations that impact both collections and broader business goals. Your role involves clarifying issues, quantifying change value, and presenting options to stakeholders. Youll link your work to business strategy and collaborate with the central data team. If youre motivated by data and want to make an impact, we want to hear from you Here’s a taste of what you’ll be doing: Use data to understand a problem and deliver insight, options & recommendations to help reduce customer debt. Understand and communicate how your analytics & recommendations will impact both your immediate area (collections) and the wider business. Be a critical friend, e.g. consultant to the customer - help clarify the problem, quantify the value of change, and present realistic delivery options including timeframes, cost and effort involved. Present technical information in a compelling way to stakeholders, especially to those who may not be technical experts. Link analysis to the bigger picture and unlock commercial value. Develop close relationships with central data team to embed BAU routines where required. Are we the perfect match? Proven ability to take raw data and turn it into fresh insights. Proficient at using SQL and spreadsheets for data analysis. Able to validate their outputs and know when to deploy each type of validation (sense check, MI cross validation, peer review, random sampling) at the appropriate level. Present technical information in a compelling way to stakeholders, especially to those who may not be technical experts. Link analysis to the bigger picture and unlock commercial value. It would be great if you had: Experience using Python for data analysis. Experience using Tableau for data visualisation. An understanding of the UK energy andor utilities markets. Knowledge of machine learning and data science. Experience in collections or credit management. Here’s what else you need to know: Role may close earlier due to high applications We’ll have regular team socials and lively team chats. Competitive salary. Location – Nottingham - (E.ON Next office, Trinity House, 2 Burton St, Nottingham NG1 4BX) with travel to our other sites when required. Working environment: Flexible hybrid working – a blend of in the office and home working. Work life balance – we work Monday-Friday 9AM-5PM to service our customers and make sure they have an unforgettable experience. 26 days holiday plus bank holidays each year – this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) Excellent parental leave allowance. The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We’ve exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider. We’re committed to equal opportunities and promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we’re happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.