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- Tasks: Facilitate workshops, analyse data, and create visualisations for a leading construction company.
- Company: Join a diverse team at a top UK construction firm.
- Benefits: Enjoy flexible working options and supportive wellbeing policies.
- Why this job: Kickstart your career in data analytics with real-world impact.
- Qualifications: Interest in technology and data analysis skills required.
- Other info: Great opportunity for growth in a dynamic industry.
The predicted salary is between 800 - 1400 £ per month.
A leading construction company in the UK is seeking a Data Analyst to join their diverse team. You will facilitate workshops to gather system requirements, analyze data, and create visualizations while ensuring compliance with security standards.
Ideal candidates should have:
- An interest in technology
- Data analysis skills
- The right to work in the UK
This role promotes flexible working options and offers supportive wellbeing policies.
Data Analytics Apprentice — Flexible Work & Growth in Birmingham employer: HS2 Ltd
Contact Detail:
HS2 Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Apprentice — Flexible Work & Growth in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the construction and data analytics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and construction. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through a portfolio! Create visualisations or case studies from your projects, even if they’re personal or academic. This will give you an edge and demonstrate your analytical abilities to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Data Analytics Apprentice — Flexible Work & Growth in Birmingham
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data analytics! Share any relevant projects or experiences that highlight your skills and interest in technology. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to fit the job description. Highlight your experience with data analysis and any workshops you've facilitated. This shows us that you understand what we're looking for and how you can contribute to our team.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate when candidates communicate effectively, as it reflects the skills needed for the role.
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 makes the process smoother for everyone involved.
How to prepare for a job interview at HS2 Ltd
✨Know Your Data
Brush up on your data analysis skills before the interview. Be prepared to discuss your experience with data visualisation tools and any relevant projects you've worked on. This will show your passion for technology and your ability to contribute to their team.
✨Understand the Company
Research the construction company and its values. Familiarise yourself with their recent projects and how they utilise data analytics. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think of examples where you've gathered requirements or analysed data in a previous role or project. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Showcase Your Flexibility
Since the role promotes flexible working, be ready to discuss how you manage your time and adapt to changing priorities. Share examples of how you've successfully worked in a flexible environment, highlighting your ability to balance tasks and meet deadlines.
