Senior Data Analyst

E.ON; East Midlands; On-site; GBP 50,000 - 70,000; Full time

Job summary

An energy company in the UK is seeking a Senior Data Analyst to join their Credit Risk Portfolio Management team. This role involves developing forecasts, scenario modeling, and delivering insights to influence risk management strategies. Ideal candidates will have strong coding skills in SQL, Python, and experience in data analytics within a regulated industry. The position offers a competitive salary, excellent parental leave, and various inclusive benefits.

Benefits

Competitive salary

Excellent parental leave allowance

26 days of annual leave plus bank holidays

Generous pension and life cover

Bonus opportunities

Flexible benefits with tax/NI savings

Hybrid and family-friendly policies

Inclusive support for all stages of life

Qualifications

• Proven experience in data analytics or credit risk role.
• Solid understanding of forecasting techniques and regression analytics.
• Excellent communication skills across teams.

Responsibilities

• Develop debt forecasts to track performance.
• Create scenario models for operational planning.
• Consult on advanced analytics for project delivery.

Skills

Data analytics experience

Strong coding skills in SQL

Strong coding skills in Python

Strong coding skills in PySpark

Stakeholder engagement

Commercial acumen

Education

Degree in quantitative discipline

Tools

Databricks

Job description

We are looking for a Senior Data Analyst to join our Credit Risk Portfolio Management team - a key function responsible for understanding and forecasting the financial health of the customer base. 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 senior 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

• Partnering with Finance to develop and maintain debt forecasts to track performance vs. plan, forecast risk and deep dive into the drivers of variations to plan
• Developing scenario models to enable data-based decisioning within operational and strategic planning cycles
• 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 e.g. simulation models, data pipeline mock ups, statistically robust testing
• Translating analytical outputs into clear recommendations for business stakeholders, influencing decisions across debt prevention and collections strategy
• 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, Python and PySpark for data extraction, transformation, modeling and forecasting
• Solid understanding of forecasting techniques, scenario modelling, and regression-based analytics
• 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
• A degree (or equivalent experience) in a quantitative discipline such as statistics, mathematics, economics or data science

It would be great if you had

• Experience working with Databricks
• 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
• A general understanding of accounting principles

Here’s what else you need to know

• Role may close earlier due to high applications.
• Competitive salary
• Location - Nottingham E.ON Next office, Trinity House,?2 Burton St, Nottingham NG1 4BX - with travel to our other sites when required.
• Excellent parental leave allowance.
• Award-Winning Workplace - We're proud to be named a Sunday Times Best Place to Work 2025 and the Best Place to Work for 16-34-year-olds!
• Outstanding Benefits - Enjoy 26 days of annual leave plus bank holidays, a generous pension, life cover, bonus opportunities and access to 20 flexible benefits with tax/NI savings
• Flexible & Family-Friendly - Our industry‑leading hybrid and family‑friendly policies earned us double recognition at the Personnel Today Awards 2024. We're open to discussing how flexibility can work for you
• Inclusive & Diverse - We're the only energy company in the Inclusive Top 50 UK Employers. We're also proud winners of Best Employer for Women and Human Company of the Year—recognising our inclusive, people‑first culture
• Support at Every Stage of Life - We're Fertility Friendly and Menopause Friendly accredited, with inclusive support for everyone
• Accessible & Supportive - Do you consider yourself as having a disability? As a Disability Confident Employer, we guarantee interviews for disabled applicants who meet the minimum criteria for the role and will make any adjustments needed during the process
• Invested in Your Growth - From inclusive talent networks to top‑tier development programmes, we'll support your growth every step of the way
• 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