At a Glance
- Tasks: Lead complex data challenges and deliver impactful insights to drive business strategy.
- Company: Join an innovative energy company transforming the industry with data-driven solutions.
- Benefits: Competitive salary, growth opportunities, and a collaborative work culture.
- Other info: Fast-paced environment with high ownership and empowerment, perfect for ambitious individuals.
- Why this job: Be at the forefront of energy transformation and make a real difference with your data expertise.
- Qualifications: 7+ years as a data analyst, strong SQL and Python skills, and excellent communication abilities.
The predicted salary is between 72000 - 88000 £ per year.
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 every day.
- 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.
Principal Data Analyst in London employer: E.ON Energy Solutions
E.ON Energy Solutions offers a collaborative work environment where employees can engage in transformative projects within the energy sector. The company prioritizes mentorship and professional growth, making it an attractive place for those passionate about data analytics and energy management.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like E.ON Energy Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Data Analyst at E.ON Energy Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like E.ON Energy Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Analyst at E.ON Energy Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principal Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at E.ON Energy Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at E.ON Energy Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at E.ON Energy Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at E.ON Energy Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
