At a Glance
- Tasks: Gain hands-on experience in data analysis, SQL, and visualisation while supporting school systems.
- Company: St Helen’s School, a leading independent day school for girls.
- Benefits: Competitive salary, free lunch, fitness access, and discounts on holiday clubs.
- Other info: 90% of apprentices secure permanent roles after completing the programme.
- Why this job: Kickstart your career with a structured apprenticeship in a supportive educational environment.
- Qualifications: 3 GCSEs at grades 4+ and an interest in data analysis.
The predicted salary is between 26000 - 26000 £ per year.
St Helen’s is a leading independent day school for over 1100 girls aged 3-18 and is a member of the Girls’ Schools Association (GSA). St Helen’s School is committed to academic excellence and is dedicated to equipping pupils with the skills which will enable them to take their places as leaders in a rapidly changing world.
About the role
The role combines practical, on-the-job experience with a structured Level 4 Data Analyst apprenticeship programme, covering core areas such as data analysis, SQL, visualisation, and data management.
Systems Landscape
- MIS and core systems (e.g. iSAMS)
- Reporting and data platforms (SQL Server, Power BI, Central, SSRS, BoldReports)
- Operational and third-party systems (e.g. SOCS, WisePay, CPOMS, HubSpot, SchoolCloud)
- Automation and integration tools (e.g. Power Automate, Wonde, SSIS, Parserr)
Hands-on experience in collecting, maintaining, analysing and presenting data from a wide range of school systems. They will support the production of reports and dashboards, help ensure data quality and consistency, and contribute to improving how systems, analytics, AI and data are used across the school.
Responsibilities
- Assist in maintaining accurate and reliable data across school systems
- Support data imports, exports, validation and cleansing
- Help ensure data consistency across integrated platforms
- Produce and maintain reports for academic, pastoral and operational use
- Support development of dashboards using tools such as Power BI and Excel
- Assist in analysing trends and identifying insights from data
- Present data clearly to support decision-making
Experience
- Working in an educational setting
- Using a school MIS – especially iSAMS
- Awareness of databases or SQL
- Using Excel for data analysis
- Familiarity with data visualisation tools (e.g. Power BI)
- Interest in automation or system integration
Entry requirements
- 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject
- GCSE Maths and English (or equivalents) at grades 3+ (D or above)
- Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship
- You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.
- If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.
Working hours
37.5 hours per week
Benefits
- Access to the School's Swimming pool and fitness suite
- Free onsite parking
- Eye care
- Holiday club staff discounts
- Cycle to work scheme
- Free lunch and refreshments during term-time
- A beautiful working environment – the school is set in a conservation site in excess of 21 acres
- 90% of QA apprentices secure permanent employment after completing the apprenticeship.
Data Analyst Apprentice in Northwood employer: Support Warehouse Ltd.
St Helen’s School is an exceptional employer, offering a supportive and enriching environment for Data Analyst Apprentices. With access to state-of-the-art facilities, including a swimming pool and fitness suite, alongside a commitment to employee growth through structured apprenticeship programmes, the school fosters a culture of academic excellence and personal development. Located in a beautiful conservation area, employees enjoy a unique working atmosphere that promotes well-being and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Apprentice in Northwood
✨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 Support Warehouse Ltd..
✨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 Support Warehouse Ltd. and show them you’re genuinely passionate about the field.
We think you need these skills to ace Data Analyst Apprentice in Northwood
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 Support Warehouse Ltd. 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 Support Warehouse Ltd.
✨Brush Up on the Basics
Before your interview with Support Warehouse Ltd., 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 Support Warehouse Ltd.. 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!
