At a Glance
- Tasks: Transform complex financial data into actionable insights that drive business decisions.
- Company: Join EDF, a leader in the energy sector committed to personal success and inclusivity.
- Benefits: Enjoy a competitive salary, hybrid working, and customisable benefits like gym discounts and tech vouchers.
- Other info: Be part of a diverse team focused on continuous improvement and career growth.
- Why this job: Make a real impact on financial strategies while working with large datasets in a dynamic environment.
- Qualifications: Strong SQL skills and experience with complex datasets; ability to present clear data insights.
The predicted salary is between 50000 - 65000 £ per year.
Looking to turn complex financial data into meaningful insight that drives real business decisions? Want to work with large datasets, influence strategy, and strengthen data integrity across a major organisation? At EDF, Success is Personal – and your impact starts here.
As a Senior Data Analyst within Customers Finance, you'll play a key role in ensuring the accuracy and integrity of financial data across systems and reporting. Your insights will support decision‑making and performance, contributing to our journey towards an Electric Britain.
You'll work on high‑impact data challenges across billing, revenue, and debt, supporting financial control and assurance processes. From deep‑dive analysis to improving data quality frameworks, you'll help strengthen the foundations that drive business performance.
Key Responsibilities- Analyse financial data across revenue, billing, and debt to identify trends and insights
- Support data quality controls including reconciliations, validation, and exception reporting
- Perform deep‑dive investigations to identify anomalies and improvement opportunities
- Partner with Finance, Operations, and Technology teams to deliver data‑driven recommendations
- Drive continuous improvement in data quality, reporting accuracy, and processes
- Strong SQL skills with experience working on large, complex, production‑scale datasets
- Experience working with imperfect datasets, using investigation and logic to identify improvements
- Experience building data validation, reconciliation, or control processes
- Exposure to financial, billing, or operational data such as revenue or transactions
- Strong commercial acumen with the ability to link data insights to financial outcomes and performance
- Experience managing multiple analytical tasks and prioritising effectively
- Ability to present data in a clear and actionable way for decision‑making
- Competitive salary and potential for an annual bonus
- Regular travel to our London office in Victoria
- Hybrid working model – balance home working with in‑person collaboration
- Market‑leading pension scheme
- Customisable benefits such as electric vehicle leasing, discounted gym membership, life assurance, tech vouchers, experience days, and more
Everyone is welcome at EDF; we are committed to building a workforce that reflects gender balance, social mobility, and inclusion of minority ethnic backgrounds, LGBTQ+ communities, and those with disabilities.
As a Disability Confident employer, we will support applicants requiring adjustments.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 EDF Energy!
✨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 Senior Data Analyst at EDF Energy.
✨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 EDF Energy.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at EDF Energy, 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 Senior 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 EDF Energy, 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 EDF Energy. 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 EDF Energy
✨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 EDF Energy!
✨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.
