At a Glance
- Tasks: Analyse data and enhance manufacturing processes with cutting-edge digital tools.
- Company: Join Schneider Electric, a leader in energy management and automation.
- Benefits: Earn £23,000, gain valuable skills, and enjoy a supportive work environment.
- Other info: Receive on-the-job training and mentoring for career growth.
- Why this job: Make a real impact in digital manufacturing while learning from industry experts.
- 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 visualization.
- 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
IT/Data Analyst Apprentice employer: Schneider Electric
Schneider Electric is an exceptional employer, offering a dynamic work environment in Leeds where innovation meets manufacturing excellence. As an IT/Data Analyst Apprentice, you will benefit from comprehensive training, mentorship, and a strong focus on employee wellbeing, all while contributing to cutting-edge digital solutions in energy management. With a commitment to professional growth and a collaborative culture, Schneider Electric empowers you to develop your skills and make a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land IT/Data Analyst Apprentice
✨Tip Number 1
Get to know the company! Research Schneider Electric and their digital tools. Understanding their mission and values will help you tailor your conversations during interviews and show that you're genuinely interested in the role.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider info about the company culture and even lead to referrals, which can boost your chances of landing the job.
✨Tip Number 3
Practice makes perfect! Prepare for common interview questions related to data analysis and manufacturing processes. Mock interviews with friends or mentors can help you feel more confident and articulate your thoughts clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows that you’re proactive and serious about joining the team at Schneider Electric.
We think you need these skills to ace IT/Data Analyst Apprentice
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the IT/Data Analyst role. Highlight any relevant skills, especially in data manipulation and visualisation, and don’t forget to mention your understanding of manufacturing processes!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our digital team. Be sure to mention any experience with databases or SQL.
Show Off Your Communication Skills:As an IT/Data Analyst Apprentice, you'll need to communicate technical ideas clearly. In your application, give examples of how you've done this in the past, whether in school projects or other experiences.
Apply Through Our Website:We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application goes directly to us, so we can review it promptly!
How to prepare for a job interview at Schneider Electric
✨Know Your Data
Make sure you brush up on your understanding of data sources, manipulation, and visualisation. Be ready to discuss how these concepts apply to manufacturing processes, as this will show your potential employer that you’re not just familiar with the theory but can also connect it to real-world applications.
✨Familiarise Yourself with Digital Tools
Research the suite of digital tools used at Schneider Electric. Understanding how these tools enhance production processes will give you a leg up in the interview. You might even want to prepare some examples of how similar tools have been used effectively in other contexts.
✨Practice Your Communication Skills
As an IT/Data Analyst Apprentice, you'll need to communicate technical ideas clearly. Practise explaining complex concepts in simple terms, perhaps by teaching a friend or family member about data analysis. This will help you articulate your thoughts during the interview.
✨Show Your Inquisitive Nature
Demonstrate your curiosity about manufacturing processes and digital tools. Prepare questions to ask your interviewers about their operations and how they use data. This shows that you're not only interested in the role but also eager to learn and contribute to the team.
