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- Tasks: Gain hands-on experience in data analytics while receiving professional training.
- Company: Leading data services provider with a focus on innovation.
- Benefits: Paid placement, hybrid work model, and valuable industry experience.
- Why this job: Kickstart your career in data with real-world projects and mentorship.
- Qualifications: STEM graduates with a passion for learning and problem-solving.
- Other info: Explore diverse career paths in Data Migration, Engineering, and Analysis.
The predicted salary is between 18000 - 25000 £ per year.
A leading data services provider offers a four-month paid placement in the Datalynx Academy for those starting a career in data. This hybrid role combines practical experience in various data-focused tasks with professional training.
Ideal candidates are STEM graduates, eager to learn and solve problems collaboratively. Successful participants will receive feedback and may explore paths in Data Migration, Engineering, and Analysis, with applications open for placements starting in September 2026.
Data Analytics Apprentice — 4-Month Paid Academy (Hybrid London) employer: CACI Digital Experience (formerly Cyber-Duck)
Contact Detail:
CACI Digital Experience (formerly Cyber-Duck) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Apprentice — 4-Month Paid Academy (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to current or past apprentices on LinkedIn and ask about their experiences. This can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for your interview by brushing up on data concepts and tools relevant to the role. We recommend practising common interview questions and having examples ready that showcase your problem-solving skills.
✨Tip Number 3
Show your enthusiasm! When you get the chance to chat with recruiters or during interviews, let them know why you're excited about this opportunity and how you can contribute to the team.
✨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 the Datalynx Academy.
We think you need these skills to ace Data Analytics Apprentice — 4-Month Paid Academy (Hybrid London)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data! Share any relevant projects or experiences that highlight your interest in data analytics and problem-solving. We want to know what drives you!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight your STEM background and any skills that align with the tasks you'll be tackling at Datalynx Academy. We love seeing how you fit into our world!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications.
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 CACI Digital Experience (formerly Cyber-Duck)
✨Know Your Data Basics
Brush up on your fundamental data concepts before the interview. Understand key terms and methodologies in data analytics, as this will show your enthusiasm and readiness to dive into the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in your studies or previous experiences. Highlighting your analytical thinking and collaborative problem-solving will resonate well with the interviewers.
✨Research the Company
Familiarise yourself with the company’s mission and recent projects. This knowledge will help you tailor your answers and demonstrate your genuine interest in their work and the data services they provide.
✨Ask Insightful Questions
Prepare thoughtful questions about the Datalynx Academy and potential career paths. This not only shows your eagerness to learn but also helps you gauge if the role aligns with your career aspirations.