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- Tasks: Join our team as an Apprentice Data Analyst and unlock the value of data for sustainable energy.
- Company: Be part of Sizewell C, a groundbreaking nuclear project powering 6 million homes.
- Benefits: Starting salary of £25,000, customizable benefits, and a market-leading pension scheme.
- Why this job: Kickstart your career in data analytics while contributing to a major climate initiative.
- Qualifications: Five GCSEs including English and Maths; keen interest in data and technology.
- Other info: Gain hands-on experience with a nationally recognised qualification over a 2-year apprenticeship.
The predicted salary is between 800 - 1167 £ per month.
If you are looking to kick start a career that is rewarding and you can make a difference, join our Data Analyst Apprenticeship Programme. You will work on one of the UK's most exciting sustainable energy projects, Sizewell C, a nuclear new build in Suffolk. When completed, it will provide dependable electricity to 6 million homes for at least 60 years.
What You Will Be Doing
- Collaborate with different departments to translate business needs into data requirements.
- Collect, clean and connect data from various sources to support business decisions.
- Use appropriate data analytics and statistical techniques to discover trends, patterns and meaningful insights to drive decision-making.
- Communicate insights to a range of stakeholders, including the use of PowerBI and Excel to create accessible dashboards and reports.
- Support the business to manage its critical datasets, ensuring data accuracy and integrity across systems.
Your Work Location
While you will be based at our London office, you may also be required to travel to other locations to support other business units and to expand your knowledge and experience of the nuclear industry. Join our 2-year apprenticeship programme and gain hands-on experience while working towards your qualification. As part of the programme, day release for college with some remote learning is likely.
Who You Are
- Five GCSEs in the A* to C or 9 to 4 range including English and Maths.
- Attention to detail with the ability to see the big picture and identify data problems and develop solutions.
- Keen interest in data with a willingness to learn, grow and adapt to the latest data tools and technology.
- Strong IT skills and the ability to pick up new tools and technology (e.g. Excel/PowerBI). Logical thinker; interest in coding (SQL/Python) is a plus.
- Passionate about data with the ability to engage stakeholders and make data accessible.
- A team player excited to collaborate with our business and data experts to build end-to-end data solutions.
Pay, Benefits & Culture
Starting salary of £25,000 per annum, plus a market-leading pension scheme. The package includes customizable benefits such as electric vehicle leasing, discounted gym membership, life assurance, tech vouchers, experience days and more.
Closing date: 23:59 on Friday 20 February 2026. We may close this advert early if we receive a high number of applications. Please submit your application as soon as possible to avoid missing out.
Additional Information
Join the Sizewell C team. Our vision is to Lead The Way On Nuclear. Sizewell C is a major megaproject at the forefront of the UK climate agenda and energy policy. We are building a 3.2-gigawatt nuclear power station on the Suffolk coast, with a design similar to Hinkley Point C where possible. The power station will generate low-carbon electricity for at least 60 years, supplying over 6 million homes and supporting around 7% of the UK's current electricity needs.
We are the first nuclear power station in the UK funded under the Regulated Asset Base (RAB) model. Our largest shareholder is the UK Government, alongside equity partners. Sizewell C operates in a complex stakeholder environment with government bodies, regulators, local communities, supply chain partners and international collaborators, offering professional challenge and growth.
To be appointed, you will need to meet the criteria for Security Vetting, typically requiring residency in the UK for at least three of the past five years. We value diversity and are committed to local recruitment where possible. Sponsorship may be possible in some cases. By submitting your application you acknowledge Sizewell C's and EDF's privacy policies regarding processing and sharing information related to your application.
Sizewell C Data Analyst Apprentice in London employer: Sizewell C
Contact Detail:
Sizewell C Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sizewell C Data Analyst Apprentice in London
✨Tip Number 1
Get your networking game on! Connect with professionals in the energy and data analytics sectors on platforms like LinkedIn. We can’t stress enough how valuable it is to have a few conversations with people already in the field; they might just point you towards opportunities that aren’t even advertised yet!
✨Tip Number 2
Practice makes perfect! Before any interviews, brush up on your data analysis skills and tools like Excel and PowerBI. We recommend doing some mock interviews with friends or family to get comfortable talking about your skills and experiences.
✨Tip Number 3
Show your passion for data! When you get the chance to chat with potential employers, make sure to express your enthusiasm for data analytics and the impact it can have on projects like Sizewell C. We love seeing candidates who are genuinely excited about what they could contribute.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for motivated individuals who want to join us in making a difference in sustainable energy. Don’t wait too long; apply early to stand out!
We think you need these skills to ace Sizewell C Data Analyst Apprentice in London
Some tips for your application 🫡
Show Your Passion for Data: Let us see your enthusiasm for data analytics! In your application, mention any projects or experiences that highlight your interest in data. This could be anything from coursework to personal projects – we want to know what excites you about working with data!
Tailor Your Application: Make sure to customise your application to fit the Sizewell C role. Highlight relevant skills and experiences that align with the job description. We love seeing candidates who take the time to connect their background with what we’re looking for!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure it gets to us directly. Plus, you’ll find all the details you need about the role and our company there. We can’t wait to hear from you!
How to prepare for a job interview at Sizewell C
✨Know Your Data
Before the interview, brush up on your data analytics knowledge. Familiarise yourself with key concepts like data preparation, exploration, and visualisation. Being able to discuss how you would approach these tasks will show your enthusiasm and readiness for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in the past. Whether it's a school project or a personal endeavour, demonstrating your problem-solving abilities will highlight your attention to detail and logical thinking, which are crucial for this apprenticeship.
✨Get Comfortable with Tools
Since the role involves using tools like Excel and PowerBI, make sure you're familiar with their functionalities. If you can, create a simple dashboard or report to showcase during your interview. This hands-on experience will impress the interviewers and show your proactive approach.
✨Engage and Communicate
Practice explaining complex data insights in simple terms. The ability to communicate effectively with stakeholders is key in this role. During the interview, be ready to discuss how you would make data accessible to different audiences, showcasing your passion for data and teamwork.