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For Companies At a Glance
- Tasks: Dive into data analytics, visualisation, and machine learning to solve real-world problems.
- Company: Join a forward-thinking company committed to innovation and inclusivity.
- Benefits: Earn while you learn with a competitive salary and hybrid working options.
- Other info: Enjoy a supportive environment with opportunities for growth and development.
- Why this job: Kickstart your career in tech with hands-on experience and expert mentorship.
- Qualifications: Passion for data and a willingness to learn new technologies.
The predicted salary is between 20000 - 30000 £ per year.
Key Skills & Responsibilities
- Data analytics and statistics
- Data visualisation
- Machine learning and predictive modelling
- Databases and big data
- Software, systems, and digital technologies
- Support from academic tutors and a workplace mentor
- Completion of an End-Point Assessment (EPA), including a project
Course Information
- Course: Digital and technology solutions professional (level 6)
- Level: 6
- Route: Digital Apprenticeship
- Level: Degree
Working Arrangements
- Working Week: Monday - Friday - Hybrid a minimum of two days
- Working hours TBC
- Expected Duration: 4 Years
This employer is part of the Disability Confident scheme, committed to employing disabled people.
Digital and Technology Solutions Professional Degree Apprenticeship - Level 6 (Data Analyst) – in Southwell employer: MinsterFB Ltd
Contact Detail:
MinsterFB Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital and Technology Solutions Professional Degree Apprenticeship - Level 6 (Data Analyst) – in Southwell
✨Tip Number 1
Network like a pro! Reach out to current or past apprentices in the field. They can give us insider tips on what the employer is really looking for and might even refer us directly.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing any data analytics projects or visualisations we've done. This will help us stand out during interviews and demonstrate our practical experience.
✨Tip Number 3
Practice makes perfect! We should do mock interviews with friends or mentors. This helps us get comfortable with common questions and allows us to refine our answers, especially around machine learning and big data.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills match the job description perfectly.
We think you need these skills to ace Digital and Technology Solutions Professional Degree Apprenticeship - Level 6 (Data Analyst) – in Southwell
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your data analytics and visualisation skills in your application. We want to see how you can use these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience aligns with the responsibilities listed, like machine learning or working with big data. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if it helps convey your message better!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need there!
How to prepare for a job interview at MinsterFB Ltd
✨Know Your Data
Brush up on your data analytics and statistics knowledge. Be prepared to discuss specific tools and techniques you've used in the past, especially in relation to data visualisation and machine learning. This shows you're not just familiar with the concepts but can apply them practically.
✨Showcase Your Projects
If you've worked on any relevant projects, whether in your studies or previous roles, be ready to talk about them. Highlight your role, the challenges you faced, and how you used data to drive decisions. This will demonstrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s approach to data analytics and their use of big data technologies. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
✨Embrace the Hybrid Model
Since the role involves hybrid working, think about how you can effectively collaborate in both remote and in-office settings. Be ready to discuss your strategies for staying productive and connected with your team, which is crucial for a successful apprenticeship.