E.ON Next

Principal Data Analyst

2 Locations
Full-time
Posted Nov 5, 2026

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Skills

Data Analysis
Data Visualization
Git
Python
SQL
Tableau

Job description

We are looking for an experienced Principal Data Analyst to join our growing Data team.

Are you someone who looked at Ofgem's Retail Market Review (RMR) and didn't just see a compliance headache, but instead rolled up your sleeves to rebuild billing engines reporting and analytics from the ground up? Do you know your TIL from your TCR.

have you steered data teams through the Project Nexus, rebuilt legacy UK Link code for the new world and helped make the change to rolling monthly AQs. You’ve lived through the highs and lows of the SMETS1 and SMETS2 rollouts, and are fluent in DUIS. But most importantly, you aren't just looking backward, you are genuinely passionate about the transformation our industry is undergoing and appreciate the massive commercial opportunities that Market-Wide Half-Hourly Settlement (MHHS) unlocks.

As an expert in data and analytics, this role will be responsible for working with the business to understand their strategy and plans, and provide relevant and impactful data analytics and insights. As well as proactively inputting on maturing our data capability, through bringing in new and innovative approaches, and mentoring the junior team members. The ideal person for this role thrives in fast paced environments with high levels of empowerment, and is passionate and determined to make a difference. You are excited to create insights and resolve complex business problems. You enjoy the start-up mentality and are happy to roll up your sleeves: no job is too big, or too small, while also comfortable to find more scalable solutions as we mature our capability. You want to be part of growing the company, and therefore to grow with the company.

Here’s a taste of what you’ll be doing:

•Taking ownership of the more complex business challenges, owning them end to end with minimal levels of support

•Consulting with senior stakeholders across the organisation to understand their business needs and determine the best data / analytics approach delivering value from our data in a clear and actionable manner

•Operating as a trusted data and analytics expert, knowing what data is available, and comfortable innovating on new analytical techniques identifying and sharing opportunities to advance the data capability

•Delivering value and impact to senior stakeholders, and various forums, using excellent “storytelling” and visualisation techniques in an engaging and simple manner

•Responsible for co-leading the learning and development plans across our data community, and mentoring junior members of the community

•Responsible for updating existing documentation, including data catalogue, and code libraries, sharing knowledge and continuously growing best practice everyday

•Working in a fast paced environment with high levels of ownership and empowerment with a strong growth culture.

•Work collaboratively across multi-skilled cross-functional teams and external partners, shaping technical direction, design approaches, and delivery patterns to ensure consistent, scalable outcomes.

Are we the perfect match?

We’re continuing to innovate in the energy industry and we’ll succeed because of our people.

We’re looking for someone with the following:

•Proven excellent experience as a principal / senior data analyst, ideally 7 years

•Excellent problem solving skills and high levels of curiosity

•Advanced SQL and python skills.

•Strong experience with data visualisation tools

•Experience working with cloud platforms, to build data pipelines

•Experience with Git, or similar, using branches and pull requests for collaborative development

•Excellent communication and presentation skills with the ability to engage non-technical audiences

•Ability to drive change and deliver value from data

•Degree/Masters or equivalent in a relevant field e.g statistics, mathematics etc.

It would be great if you had:

•Energy retail experience

•Experience with advanced analytics techniques including modelling and segmentation

•Experience working with our existing tech stack - Databricks, Git, Tableau