Senior Data Analyst

E.ON Next
Nottingham
3 weeks ago
Applications closed

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We are looking for a Senior Data Analyst to join our Credit Risk team - a key function responsible for understanding the financial health of the customer base and designing strategy to create better debt outcomes. The role requires the use of advanced analytics to provide deep insights into credit risk and performance to inform our risk management strategy.

This role is ideal for a proven analyst with strong technical and mathematical skills combined with the commercial acumen needed to translate insights into action.

Here’s a taste of what you’ll be doing
  • Ability to use analytics to understand a problem and deliver insight, options & recommendations considering a wider range of factors, analytical techniques and considering multiple angles to support E.ON Next’s goal of reducing customer debt.
  • Work with stakeholders in Credit Operations and beyond to understand their teams’ performance and identify opportunities to improve debt outcomes, bringing them along the journey.
  • Understanding and ability to communicate how your analytics & recommendations will impact both your immediate area (collections) and the wider business, considering all factors such as commercial aspects.
  • Staying up to date with emerging analytical techniques and technologies, partnering with Data Science to deliver advanced segmentation and behavioural analysis
  • Delivering and consulting on the advanced analytics required to support project delivery across the wider Credit Management function
  • Liaising with Data Engineers to drive enhancements to data quality, availability and usability.
Are we the perfect match?
  • Proven experience in a data analytics or credit risk role, ideally within utilities, financial services or other regulated industry.
  • Strong coding skills in SQL and/or Python for data extraction, transformation, modelling and forecasting.
  • Strong commercial acumen, with the ability to translate complex analytical findings into clear narratives with direct links to business value.
  • Excellent stakeholder engagement and communication skills, with confidence working across operational, strategic and technical teams.
It would be great if you had
  • Experience working with Databricks.
  • A degree (or equivalent experience) in a quantitative discipline such as statistics, mathematics, economics or data science.
  • Understanding of macroeconomic and market drivers affecting customer affordability and credit risk.
  • Prior experience working across both residential and commercial consumer bases.
  • Experience working with credit bureau data.


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