Data Analyst Apprentice

Data Analyst Apprentice

Apprenticeship 18000 - 25000 £ / year (est.) No working from home possible
St Helen's School

At a Glance

  • Tasks: Gain hands-on experience in data analysis, reporting, and visualisation while supporting school systems.
  • Company: Join a vibrant school community dedicated to innovation and student success.
  • Benefits: Enjoy free lunch, fitness access, discounts, and a beautiful working environment.
  • Other info: Perfect for those looking to grow in a dynamic educational setting.
  • Why this job: Kickstart your career with a structured apprenticeship and make a real impact in education.
  • Qualifications: GCSEs in Maths and English, plus a passion for data and technology.

The predicted salary is between 18000 - 25000 £ per year.

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. They will be working in a highly varied systems landscape and 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.

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)

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

Qualifications

  • Experience working in an educational setting
  • Experience using a school MIS – especially iSAMS
  • Aware of databases or SQL
  • Experience using Excel for data analysis
  • Familiarity with data visualisation tools (e.g. Power BI)
  • Interest in automation or system integration
  • 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

Benefits

  • Access to the school’s swimming pool and fitness suite
  • High street discounts
  • 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

Data Analyst Apprentice employer: St Helen's School

As a Data Analyst Apprentice at our school, you will benefit from a supportive and enriching work culture that prioritises employee growth and development. With access to a range of facilities including a swimming pool and fitness suite, alongside unique perks such as free lunches and high street discounts, you will thrive in a beautiful conservation site while gaining hands-on experience in data analysis and management.

St Helen's School

Contact Details:

St Helen's School Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst Apprentice

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 St Helen's School.

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 St Helen's School and show them you’re genuinely passionate about the field.

We think you need these skills to ace Data Analyst Apprentice

Data Analysis
SQL
Data Visualisation
Data Management
Report Production
Data Quality Assurance
Data Consistency

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 St Helen's School 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 St Helen's School

Brush Up on the Basics

Before your interview with St Helen's School, 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 St Helen's School. 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!