At a Glance
- Tasks: Unlock insights from data to shape smarter services and drive change.
- Company: Leading electricity network operator committed to a sustainable future.
- Benefits: £18,500 salary, fully funded training, 23 days holiday, and pension contributions.
- Other info: Supportive environment with mentorship and career growth opportunities.
- Why this job: Join a passionate team and make a real impact on communities and the environment.
- Qualifications: GCSE Maths and English, plus A Levels or BTEC in relevant subjects.
Overview
We’re champions of the North West and we’re proud that it’s our electricity network that connects communities and helps keep the electricity flowing every minute of every day, from when you wake up to when you fall asleep and all the hours in between.
A key part of the UK’s journey to net zero carbon is the revolution of our electricity industry to enable clean, green economic growth. As the North West’s electricity network operator, it’s our responsibility to lead the way, help the region decarbonise and pave the way for the growth of renewable energy and a sustainable energy future for all.
We’re proud that in December 2024 we were named Utility of the Year by Utility Week magazine who said we punched above our weight and used innovation to solve some of the industry’s most difficult challenges. Come and be part of our team and make a difference.
Together we have the energy to transform our communities. We are switched on. We are adaptable. We take pride.
Our Role
We’re looking for a curious, collaborative and forward-thinking Apprentice Data Analyst to help us unlock insights and shape smarter services for our customers. You’ll work with passionate teams, senior leaders, and external partners to turn data into meaningful stories and real-world solutions that make a difference.
This is a great opportunity for someone who’s ready to grow, influence change, and bring fresh thinking to how we use data to deliver services.
What You’ll Be Learning to Do
- Collecting, cleaning and analysing data to support decision-making
- Creating dashboards and reports to communicate insights clearly
- Identifying trends, patterns and opportunities for improvement
- Supporting the development of data models and predictive analytics
- Collaborating with teams to understand their data needs
- Helping ensure data quality, accuracy and compliance
- Using tools like Excel, Power BI, SQL and Python to work with data
- Presenting findings to stakeholders in a clear and engaging way
- Championing data-driven thinking across the organisation
- Learning how to turn complex data into actionable recommendations
What We\'re Looking For
You’ll need the following skills and qualifications to start your career journey with us:
- A minimum of Maths and English Language at GCSE (or equivalent) levels 4 - 9 or A* - C
- As well as one of the following:
- Two A Levels A* - C (one must be in a STEM subject), or
- A BTEC National Certificate Level 3 in a relevant subject (merit or distinction)
We’ll Also Be Looking For
- A passion for working with data and solving problems
- Good IT skills, with a desire to learn and develop
- Ability to work as part of a team and communicate effectively
- An interest in driving forward your career
What We\'re Offering
- £18,500 starting salary
- Fully funded apprenticeship training
- 23 days holiday (plus bank holidays), increasing with service
- Access to our rewards platform with discounts on top brands
- Membership to our pension scheme with up to 14% employer contribution
- Support from a workplace mentor and development team
Ready to Apply?
If you’re passionate about making things better and want to be part of a team that values innovation, inclusion and impact — we’d love to hear from you.
We are a Disability Confident Employer, however it is important to note that there may be occasions where it is not practical or appropriate to interview applicants that have opted into the Disability Confident Scheme and meet the minimum criteria for the job. For example: in certain recruitment situations; high number of applications, seasonal and high-peak times etc we may limit the overall numbers of interviews offered to candidates with and without a disability.
Should you require any additional support with your application, or any adjustments please contact our Recruitment team at careers@enwl.co.uk or on 0845 366 0092 (option 2).
Any offer made will remain conditional until pre-employment checks are complete to a level deemed satisfactory by SP Electricity North West. Due to the nature of this role, the following pre-employment checks will be required: references from previous employers, a Disclosure and Barring Service (DBS) and a Drug & Alcohol test.
We reserve the right to close this vacancy early.
We don\'t accept speculative CVs from agencies. Any received we will assert ownership of the candidate and no fee will be payable.
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Data Analyst Apprentice in Preston employer: SP Electricity North West
As an Events and Communications Officer, you will thrive in a dynamic environment that values collaboration and innovation across various locations including Preston, Salford, and Carlisle. Our commitment to employee growth is reflected in our professional development opportunities, alongside a supportive work culture that prioritises diversity and inclusion, ensuring every team member can reach their full potential while enjoying benefits like a market-leading pension scheme and generous annual leave. Join us in creating engaging customer experiences while being part of a passionate team dedicated to continuous improvement and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Apprentice in Preston
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We think you need these skills to ace Data Analyst Apprentice in Preston
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!
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✨Brush Up on Your Statistics
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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
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✨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.
