Trainee Data Technician Apprenticeship

Highfield School

Hampshire (GU30 7LQ)

Closes in 12 days (Monday 28 September 2026 at 11:59pm)

Posted on 15 September 2026

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Summary

You will take day-to-day responsibility for the accuracy and integrity of data held on iSAMS, our Management Information System, working closely with the IT Department, academic staff and the wider leadership team. Full training will be provided, but you will be precise, curious about systems, and comfortable learning new software quickly.

Wage

£15,000 a year

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday - Friday from 8.00am - 4.00pm with an hour for lunch.

35 hours a week

Start date

Monday 26 October 2026

Duration

2 years 3 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

  • Maintain the day-to-day accuracy of pupil, parent and staff records held on iSAMS, ensuring data is entered, updated and checked in a timely manner
  • Act as a first point of contact for staff queries relating to iSAMS, providing friendly, patient support and basic training
  • Support the annual rollover process, including timetable set-up, class and form allocations, and the transition into the new academic year
  • Produce routine and ad hoc reports (attendance, assessment, census and other statutory returns) under the guidance of the Data Manager and IT Department
  • Assist with the production of pupil reports, working to agreed deadlines each term
  • Work alongside the IT Department on system integrations, user accounts, permissions and troubleshooting, escalating technical issues as appropriate
  • Support compliance with data protection requirements (UK GDPR), helping to keep records secure, accurate and appropriately retained
  • Assist with admissions data entry and the smooth transfer of information between the Admissions team and iSAMS
  • Undertake all required off-the-job training and coursework for the Level 3 Data Technician apprenticeship standard, attending college or training-provider sessions as scheduled
  • Carry out other reasonable administrative or data-related duties as directed by the Head, Bursar or IT Manager

Where you'll work

Highfield Lane
Liphook
Hampshire
GU30 7LQ

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

HAVANT AND SOUTH DOWNS COLLEGE

Training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Select and migrate data from already identified sources.
  • Format and save datasets.
  • Summarise, analyse and explain gathered data.
  • Combine data sets from multiple sources and present in format appropriate to the task.
  • Use tools and/or apply basic statistical methods to identify trends and patterns in data.
  • Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
  • Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
  • Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
  • Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
  • Parse data against standard formats, and test and assess confidence in the data and its integrity.
  • Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
  • Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
  • Follows equity, diversity and inclusion policies in the organisation for a common goal.
  • Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
  • Select and migrate data from already identified sources.
  • Format and save datasets.
  • Summarise, analyse and explain gathered data.
  • Combine data sets from multiple sources and present in format appropriate to the task.
  • Use tools and/or apply basic statistical methods to identify trends and patterns in data.
  • Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
  • Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
  • Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
  • Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
  • Parse data against standard formats, and test and assess confidence in the data and its integrity.
  • Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
  • Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
  • Follows equity, diversity and inclusion policies in the organisation for a common goal.
  • Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.

Training schedule

This is a work based apprenticeship with off the job training time given towards your learning. A work based trainer will be assigned from the college to help support your learning journey.

Requirements

Essential qualifications

GCSE in:

  • English (grade 4)
  • Mathematics (grade 4)

Desirable qualifications

GCSE in:

Business (grade 4)

A Level in:

Computing (grade C)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative
  • Non judgemental
  • Patience
  • Strong IT Skills
  • Confidence with MS Office
  • Genuine Interest in Data

Other requirements

  • Commitment to completing the Level 3 Data Technician apprenticeship, including attendance at off-the-job training
  • Previous experience of working in a school or office environment
  • Familiarity with a Management Information System (iSAMS, SIMS, Arbor or similar)
  • Experience, in a relevant subject such as Business, IT, Computing or Data

About this employer

Day and optional boarding school (prep school for ages 8–13; pre-prep and nursery for younger children).

http://www.highfieldschool.com (opens in new tab)

Company benefits

  • Pension
  • Life Insurance
  • Free Parking
  • Free Lunch

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

Potential of a further career within the company.

Ask a question

The contact for this apprenticeship is:

HAVANT AND SOUTH DOWNS COLLEGE

Robert Read

robert.read@hsdc.ac.uk

The reference code for this apprenticeship is VAC2000053533.

Apply now

Closes in 12 days (Monday 28 September 2026 at 11:59pm)