At a Glance
- Tasks: Provide administrative support and assist with data management in a dynamic team.
- Company: Join Canmoor Asset Management, a leading firm managing extensive property portfolios.
- Benefits: Enjoy a competitive salary, private healthcare, and flexible working hours.
- Other info: Opportunities for progression and lots of social events to enjoy!
- Why this job: Kickstart your career in data while gaining hands-on experience in a top international company.
- Qualifications: GCSEs in Maths and English at grade C/level 4 minimum required.
The predicted salary is between 20000 - 20000 £ per year.
Canmoor Asset Management currently manages a portfolio in excess of 15,000,000 sq ft with over 800 tenants across the UK. The team drives capital and income returns through shrewd investment and intensive asset management. With a unique understanding of local market dynamics, Canmoor is proactive in identifying and delivering strategies that enhance and protect investment value.
They are looking for an efficient and methodical individual to provide general administrative support to the firm. This role would suit an enthusiastic and pro‑active person, who is keen to learn and develop their administration experience in a top international company.
Areas of focus and responsibilities:
- General administrative support to relevant division
- Assist with standard client file opening, conflict checks and related processes
- Assist with the monthly billing process, including producing excel drawdowns
- Preparing finance forms
- Preparing letters and enclosures ready for post, including couriers
- Photocopy, scan and print documents using the photocopiers/multi-functional devices (MFDs)
- Scan/e-file documents where required
- Assist with keeping e-files (and, occasionally, hard copy filing) up to date
- Data entry using the firm's client relationship management system
- Assist other teams or support departments
- Any other ad hoc duties as required
Key skills and attributes:
- Good written and verbal communication skills
- The ability to manage self and prioritise workload effectively, with the ability to multi‑task
- Organised and accurate with a high level of attention to detail
- Flexible attitude, enthusiastic and self‑motivated
- Commitment to support others
- Ability to use own initiative
- Good work ethic
- Lots of opportunities to gain experience working with a range of different clients
Entry requirements:
- Educated to GCSE standard (or equivalent), with Maths and English grade C/ level 4 minimum
- Training to be provided
Apprentify's Data Technician Level 3 Apprenticeship equips employees with the practical knowledge and confidence to manage, analyse and communicate data effectively across the business. Designed for developing early‑career data talent or enhancing existing roles, this programme builds core capability across the full data lifecycle – from collection and preparation through to analysis, visualisation and reporting. Learners develop a strong understanding of governance, compliance and responsible data use, ensuring data is handled securely and aligned with organisational requirements. Unlike short‑form training, this apprenticeship combines structured learning with real workplace application, ensuring skills are embedded and deliver impact from day one. Through expert‑led sessions, coaching and hands‑on tasks, learners develop the ability to work with data confidently and contribute to business decision‑making. By the end of the programme, employees can collect and manage data from multiple sources, ensure data quality, perform analysis, and present insights clearly to both technical and non‑technical stakeholders. Our Data Technician Level 3 Apprenticeship equips apprentices with the knowledge, skills and behaviours needed to work effectively in entry‑level data roles.
Things to consider:
- Salary £20,000 calculated on a pro‑rated basis depending on hours worked.
- Core working hours: 9am – 5pm.
- 12‑week probation period.
- 4 weeks' notice period.
- Flexible benefit package.
- Study day throughout the duration of the apprenticeship.
- Potential progression into an office manager role upon successful completion of the apprenticeship.
Location: Canmoor Asset Management, 34 Dover Street, London, Greater London, United Kingdom. W1S 4NG
Apprentice Data Technician Assistant employer: Skern Training
Bishop Ramsey C Of E School is an exceptional employer that fosters a supportive and inclusive Christian learning community for both staff and students. With a strong emphasis on professional development, apprentices will receive comprehensive training and mentorship while working in a dynamic environment that values collaboration and innovation. Located in Ruislip, the school offers a unique opportunity to contribute to the educational journey of young people while gaining valuable experience in IT support.
StudySmarter Expert Advice🤫
We think this is how you could land Apprentice Data Technician Assistant
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at Skern Training.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of Skern Training and show them you’re genuinely passionate about the field.
We think you need these skills to ace Apprentice Data Technician Assistant
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at Skern Training that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at Skern Training
✨Brush Up on the Basics
Before your interview with Skern Training, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at Skern Training. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!
