At a Glance
- Tasks: Analyse smart meter data to identify trends and support asset issue resolution.
- Company: Join E.ON Next, an award-winning workplace prioritising inclusivity and growth.
- Benefits: Enjoy competitive salary, 26 days annual leave, and flexible working options.
- Other info: Dynamic role with opportunities for career growth and professional development.
- Why this job: Make a real impact on customer outcomes while developing your analytical skills.
- Qualifications: Experience in SQL or Python, and strong communication skills are essential.
The predicted salary is between 30000 - 40000 £ per year.
You will work within a specialist technical team, using data from various sources to analyse smart meter performance, identify key trends, and support the triage and resolution of asset issues. Working closely with the Asset Resolution Manager and Technical Remediation Specialists, you will turn data into actionable insight, validating findings and highlighting non‑operating meters (including those linked to customer solutions) to drive targeted remediation. Your analysis will support faster time to repair, improved customer outcomes, and delivery of key objectives, including maintaining ≥94% operating meter performance, while also supporting reporting and dashboard development to enable informed decision-making.
Here's a taste of what you'll be doing:
- Supporting problem solve and root cause analysis, by extracting and analysing smart asset data from systems including: Tableau, uSMART BOL, Smart Pear, MSD, DCC platforms, Kraken, and emerging data sources e.g. Data Bricks, to support root cause analysis of non-operating meters.
- Maintain, develop, and refine Power BI dashboards and performance reporting, ensuring accurate, timely insight to support decision-making and continuous improvement.
- Collaborate with analysts and Technical Remediation Specialists to share insights, improve route-to-green performance, and reduce time to repair (<90>
- Maintain and develop data that contributes to reducing unnecessary asset replacement and remediation effectiveness, and by doing so help achieve our operating cost per account OKR.
- Use systems such as Kraken, BOL and Smart Pear to test hypotheses and validate findings, building robust, evidence-based conclusions on asset behaviour.
- Support Technical Remediation Specialists to validate and improve business processes, maintaining accurate process maps and documentation to ensure compliance with Ofgem and DESNZ requirements while strengthening smart operations and service quality.
- Analyse customer behaviour and contact drivers to reduce reactive appointments, improve customer journeys, and support satisfaction targets.
- Explore and support implementation of AI and digital automation solutions (e.g. Sparrow, Smart Pear), improving triage capability, reducing costs, and increasing operational efficiency.
Are we the perfect match?
- Ability to design and develop complex SQL or Python queries to extract, manipulate, and analyse large datasets, alongside building and maintaining Power BI dashboards or Tableau to deliver accurate, timely insights that support decision-making.
- Strong communication skills, with the ability to present findings in a clear and structured manner to peers and stakeholders across varying levels of seniority, confidently providing evidence-based recommendations and articulating insights clearly to both technical and non-technical audiences.
- Highly organised and proactive, with the ability to manage competing priorities, deliver to deadlines, and maintain accuracy in a fast-paced environment, applying strong problem-solving skills and driving continuous improvement.
- Strong technical aptitude, with the ability to understand complex smart metering systems and apply technical knowledge of smart assets to translate into clear outcomes.
- Ability to work collaboratively across teams to support delivery of key objectives, including improving operating meter performance (≥94%), reducing time to repair, and enhancing customer outcomes.
- Experience or knowledge of smart metering systems (e.g. Kraken, uSMART BOL, Tableau) with a willingness to learn and develop expertise.
- Competent in Microsoft tools (Excel, PowerPoint, Word) and data platforms (e.g. Snowflake, Databricks).
Here’s what else you need to know:
- Role may close earlier due to high applications.
- Fixed term contract length - 10 months.
- 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.
Any questions on the role - please reach out to Eonnext.recruitment@eonnext.com.
At E.ON Next, our customers are our number 1 priority! All Nexties - including our executive team - regularly directly support customers so we stay close to their needs and make better decisions that deliver the best experience.
Remediation Senior Analyst employer: E.ON Next Energy
E.ON Next is an exceptional employer that prioritises innovation and sustainability, making it an ideal place for a Venture Associate to thrive. With a strong commitment to employee growth, flexible working arrangements, and a culture that celebrates diversity and inclusivity, you will be supported every step of the way in your journey to create impactful solutions. Located in vibrant cities like London, Solihull, and Nottingham, E.ON Next offers a dynamic work environment where your contributions directly shape a zero carbon future.
StudySmarter Expert Advice🤫
We think this is how you could land Remediation Senior Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like E.ON Next Energy before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like E.ON Next Energy.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like E.ON Next Energy.
We think you need these skills to ace Remediation Senior Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at E.ON Next Energy, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to E.ON Next Energy, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab E.ON Next Energy’s attention and show the tangible impact of your work.
How to prepare for a job interview at E.ON Next Energy
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at E.ON Next Energy.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at E.ON Next Energy.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at E.ON Next Energy.