At a Glance
- Tasks: Collect, organise, and analyse data to drive business decisions.
- Company: SES Engineering Services, a leading M&E partner in the UK.
- Benefits: Gain hands-on experience, earn a recognised qualification, and work in a supportive team.
- Other info: Inclusive environment welcoming diverse backgrounds and perspectives.
- Why this job: Perfect for curious minds eager to turn data insights into action.
- Qualifications: Grade 4/C in Maths and English; no existing qualifications at the same level.
The predicted salary is between 800 - 1400 € per month.
Ready to take the next step in your career and join a supportive, collaborative team where everyone can thrive.
About Us
SES Engineering Services (SES) is recognised as one of the leading M&E partners in the UK. Specialising in the design and installation of building services and infrastructure solutions, SES covers all aspects of M&E engineering.
About The Role
As a Data Analyst Apprentice you’ll gain practical, hands-on experience, learn from supportive professionals, and work towards a nationally recognised qualification. This role is ideal for anyone curious about data, enjoys problem-solving, and wants to turn insights into meaningful action.
Your Responsibilities
- Collecting, organising, and analysing data to help inform business decisions
- Learning to use tools such as Excel, SQL, and data visualisation software
- Preparing reports and dashboards that present insights in a clear and accessible way
- Collaborating with different teams to understand their data needs
- Ensuring data accuracy and following best practices for data security
- Supporting projects by providing timely and reliable analysis
About You
- An interest in building a career in the built environment
- Enthusiasm for learning and developing new skills
- A curious mindset and willingness to ask questions
- Dependable and professional in approach
- The ability to solve problems and think logically
- Strong organisational and time management skills
- Prioritising tasks to meet agreed deadlines
Qualifications
To be considered for this apprenticeship you will need to have achieved a Grade 4 or C and above in Maths and English. You must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject.
Roles may close before the deadline if we receive a high volume of applications.
Our Commitment to inclusion
We actively encourage applications from people of all backgrounds. We're especially keen to hear from individuals who are underrepresented in the construction sector – including women, people from ethnic minority communities and people with disabilities. If you have a disability or require any reasonable adjustments during the recruitment process, please let us know – we’re here to support you.
Data Analyst Apprentice - Level 3 in Birmingham employer: SES Engineering Services
SES Engineering Services is an exceptional employer that fosters a supportive and collaborative work environment, perfect for aspiring Data Analysts. With a commitment to employee growth, you will receive hands-on training while working towards a nationally recognised qualification, all within a company that values diversity and inclusion in the construction sector. Join us to turn your curiosity into impactful insights and be part of a team where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Apprentice - Level 3 in Birmingham
✨Tip Number 1
Network like a pro! Reach out to current or former employees at SES Engineering Services on LinkedIn. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Get comfy with Excel, SQL, and data visualisation tools. Show us you’re ready to dive into the role and make an impact!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your curiosity and problem-solving abilities. We love candidates who ask questions and are eager to learn – it shows you’re a great fit for our team!
✨Tip Number 4
Apply through our website for the best chance of landing that apprenticeship. It’s straightforward, and we want to see your application come through directly!
We think you need these skills to ace Data Analyst Apprentice - Level 3 in Birmingham
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! Share examples of how you've engaged with data or problem-solving in the past. We love seeing that eagerness to learn and grow.
Tailor Your Application:Make sure to customise your application for the Data Analyst Apprentice role. Highlight relevant skills like Excel or SQL, and mention any experience you have with data analysis. This helps us see how you fit into our team!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and structure your thoughts logically. We appreciate a well-organised application that makes it easy for us to understand your strengths.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at SES Engineering Services
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Excel and SQL. Brush up on your skills and maybe even prepare a few examples of how you've used these tools in the past or how you plan to use them in this role.
✨Show Your Curiosity
During the interview, demonstrate your curiosity about data and problem-solving. Ask insightful questions about the company's data practices and how they make decisions based on data analysis. This shows you're genuinely interested in the role and eager to learn.
✨Prepare for Team Collaboration
Since the role involves collaborating with different teams, think of examples from your past experiences where you worked well in a team. Be ready to discuss how you can contribute to a collaborative environment and support others with their data needs.
✨Highlight Your Organisational Skills
Talk about how you manage your time and prioritise tasks, especially when working on multiple projects. Share specific strategies you use to stay organised, as this is crucial for meeting deadlines and ensuring data accuracy.
