At a Glance
- Tasks: Analyse data to enhance manufacturing processes and support digital tools.
- Company: Join Schneider Electric, a leader in energy management and automation.
- Benefits: Enjoy a competitive salary, flexible working, and health support.
- Other info: Gain valuable experience with mentoring and networking opportunities.
- Why this job: Make a real impact in digital manufacturing while learning on the job.
- Qualifications: Must have GCSEs in Maths, English, and a STEM subject; A level in Maths at grade B.
The predicted salary is between 23000 - 23000 £ per year.
Location: Leeds (On-Site)
Apprentice Level: UK Level 6 Degree Apprenticeship Programme
Salary: £23,000
Role Mission:
As an IT/Data Analyst Apprentice within our digital team focused on manufacturing, your mission is to harness data analysis and IT capabilities to enhance production processes, optimise manufacturing tools' performance, and extract valuable insights. This plays a pivotal role in advancing our digital manufacturing solutions and driving operational excellence. The Leeds plant of Schneider Electric typically focuses on manufacturing and assembling electrical distribution and control equipment, including switchgear, transformers and other components that support energy management and automation solutions.
Key Responsibilities:
- Understand the suite of digital tools used in Schneider Electric and support their deployment and utilisation.
- Support production in their day‑to‑day activities and their use of digital tools.
- Ensure data integrity, security and compliance with respect to data golden rules and cybersecurity.
- Collaborate with cross‑functional teams to understand data requirements.
- Develop and maintain data models and databases to support manufacturing analytics and reporting needs.
Training:
Training Provider: University of Warwick or Leeds Beckett TBC
During your apprenticeship, you will receive two different types of training. ‘On‑the‑job’ training will be delivered by Schneider Electric, as your employer. You’ll receive training and supervision to help you perform the job you’ve been hired to do, including skills and knowledge that fall outside the apprenticeship but are needed for the job role. In addition to on‑the‑job training, we provide support to ensure your success, including:
- A comprehensive induction
- Mentoring or regular one‑to‑one guidance
- Social enrichment and networking opportunities
- Performance reviews
- Mental health and wellbeing support
- Feedback opportunities
‘Off‑the‑job’ training is delivered by one of our carefully selected training providers during your normal working hours. You will spend at least 20% (average 6 hours per week) of your working hours completing off‑the‑job training. This protected time is a requirement for apprenticeship delivery and will teach you the knowledge, skills and behaviours set out in the apprenticeship standard so you can achieve occupational competence.
Work Pattern:
37.5 hours per week to be worked from Monday to Friday. Exact start and finish times are to be agreed upon with Line Manager. Some of these hours will be allocated to off‑the‑job training as part of your Apprenticeship Programme.
Skills and Attributes:
Essential:
- Understand data sources, data manipulation and visualisation.
- Understanding how manufacturing processes work and how data relates to them.
- Learning how to use databases and basic SQL for managing manufacturing data.
- Communicating technical ideas clearly to others.
Desirable:
- Adaptable to resolve complex problems.
- Flexible to react to fast‑paced production environment.
- Inquisitive to understand manufacturing processes, digital tools and their relationship.
Education:
Entry to the programme of study is through demonstration of a minimum of 112 tariff points. Applicants must also hold 5 GCSE grades including Maths, English and an additional STEM subject at grades C/4 or above. Disciplines studied post‑GCSE must include any Engineering or relevant STEM subjects (Physics recommended). In addition to the required entry tariff applicants must also have achieved an A level in Maths at grade B.
Previous Experience Required:
No pre‑requisite experience required.
Visa Sponsorship:
Please note that we are unfortunately unable to provide visa sponsorship for our apprenticeship positions. Additionally, certain visa types may not meet the eligibility criteria for apprenticeship funding under current government guidelines.
Benefits:
- Competitive Salary & Attractive Bonus Scheme
- Employee Share Ownership Programme
- Pension Scheme & Generous Life Assurance
- 28 Days Annual Leave + Public Holidays
- Holiday Buy Programme
- Flexible Working Arrangements (Role Dependent)
- Hybrid Working Arrangements (Role Dependent)
- Access to Health & Wellbeing Support
- Volunteering Opportunities
- Access to Employee Discounts (including Fitness, Shopping & Dining)
- SE Career Hub Portal Access (Portal includes view of internal job opportunities, mentors and projects globally)
- Learning Portal Access (Portal includes content that supports continuous learning)
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring and promoting all qualified individuals regardless of race, religion, colour, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
Manufacturing Data & IT Analyst Apprentice in Leeds employer: Schneider Electric
Schneider Electric is an exceptional employer, offering a dynamic work environment in Leeds where innovation meets inclusivity. As an IT/Data Analyst Apprentice, you will benefit from comprehensive training, mentorship, and a supportive culture that prioritises employee wellbeing and growth. With competitive salaries, flexible working arrangements, and access to a wealth of resources for continuous learning, Schneider Electric empowers you to thrive in your career while contributing to meaningful advancements in digital manufacturing solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Manufacturing Data & IT Analyst Apprentice in Leeds
✨Tip Number 1
Get to know the company inside out! Research Schneider Electric's values, products, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and manufacturing processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining Schneider Electric as an IT/Data Analyst Apprentice.
We think you need these skills to ace Manufacturing Data & IT Analyst Apprentice in Leeds
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let us see your enthusiasm for data analysis and IT! Share any relevant projects or experiences that highlight your skills in manipulating and visualising data. We love to see candidates who are genuinely excited about the role!
Tailor Your Application:Make sure to customise your application to fit the job description. Highlight how your skills align with our needs, especially around manufacturing processes and digital tools. This shows us that you’ve done your homework and understand what we’re all about.
Be Clear and Concise:Keep your writing clear and to the point. Avoid jargon unless it’s relevant, and make sure your ideas flow logically. We appreciate applications that are easy to read and get straight to the heart of what you want to convey.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure it gets to the right people. Plus, you’ll find all the details you need about the role and our company there.
How to prepare for a job interview at Schneider Electric
✨Know Your Data
Familiarise yourself with the types of data you'll be working with in manufacturing. Understand how data manipulation and visualisation play a role in optimising production processes. This will show your potential employer that you're ready to dive into the technical aspects of the job.
✨Understand Manufacturing Processes
Brush up on your knowledge of manufacturing processes and how they relate to data analysis. Being able to discuss how data impacts production efficiency will impress your interviewers and demonstrate your genuine interest in the role.
✨Practice Your SQL Skills
Since basic SQL knowledge is essential for managing manufacturing data, make sure you can confidently discuss your understanding of databases. Practising some common SQL queries beforehand can help you feel more prepared and capable during the interview.
✨Communicate Clearly
Prepare to explain technical concepts in simple terms. The ability to communicate complex ideas clearly is crucial, especially when collaborating with cross-functional teams. Think of examples where you've successfully explained technical information to non-technical audiences.
