Data Technician Apprentice (L3) – UCL– London WC1H 9BT – £27,586p/a – 37.5 hrs/wk
UNIVERSITY COLLEGE LONDON
London (WC1H 9BT)
Closes in 20 days (Friday 13 February 2026 at 11:59pm)
Posted on 23 January 2026
Contents
Summary
Provide analytical, administrative, and operational support to the Commercial and Procurement Department. You'll be preparing reports, updates, managing information; delivering analytical insights for projects, procurements, and broader initiatives; working with data to identify patterns, trends, and to develop metrics and measures.
- Wage
-
£27,586 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday between 9am-5pm.
37 hours 30 minutes a week
- Start date
-
Monday 6 April 2026
- Duration
-
1 year 6 months
- Positions available
-
2
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
A role for a supportive and hands-on team player to provide analytical, administrative and operational support to C&Ps by:
- Conducting data analysis to identify patterns & trends, drive Value for Money (VfM), and enable effective commercial decision-making
- Producing detailed reports that deliver against specified objectives & outputs
- Maintaining accurate records using SharePoint and other MS Office tools
- Supporting Contract Administration & Management and Supplier Performance Management activities and workstreams
- Working collaboratively with the Support & Operations team, providing reports, updates, data & Management information together with Category insights
- Developing and adopting examples of good practice
- Planning & organising project & team meetings and events
This is a role that provides significant development opportunities for the post-holder to gain commercial experience and skills.
Essential skills, characteristics and experience:
- Will be educated to at least an Advanced Level standard and additionally possess a GCSE (or equivalents) grade A*-C (9-4) in English and Mathematics
- Must be able to produce accurate and detailed work, have good organisational and analytical skills and have some relevant experience in the development and maintenance of effective record keeping
- Must have experience of and be able to demonstrate a high level of competence in, the use of relevant IT applications, including Microsoft Office
- Must be able to produce detailed reports and data. Experience of working with spreadsheets and other analytical tools is important, and an advanced understanding of Microsoft Excel is highly desirable
- Experienced in working in large, complex and decentralised organisations with a significant number of diverse stakeholders is desirable
- Must have good communication and interpersonal skills – will frequently be the first point of contact for Procurement Services
- Must be able to work on their own initiative and manage their time effectively to meet critical deadlines
- Must be numerical and comfortable with data/information analysis and reporting
- Ideally be able to influence through effective analysis and reasoned persuasion
- Must be a proactive, effective and hands-on team member
- Taking proactive steps where you see an opportunity to fulfil a need
- Knowing your key stakeholders and keeping them informed
- Working methodically, prioritising and managing tasks
Where you'll work
Bidborough House 38-50
Bidborough Street
London
WC1H 9BT
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
TECHNICAL PROFESSIONALS LIMITED
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
During this apprenticeship, you will follow a fully supported training programme with LearnTech, delivered through combined weekly remote classroom-based training, workplace assessment/training and online learning working towards completing the L3 Data Technician standard.
The training covers the following core occupational duties:
https://www.instituteforapprenticeships.org/apprenticeship-standards/data-technician-v1-0
Requirements
Essential qualifications
GCSE in:
- English (grade 4/C)
- Maths (grade 4/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
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
Other requirements
You must meet the following eligibility criteria to apply for the role:
- Have been a UK/EEA resident for the last 3 years
- Hold valid residency status
- Have the right to work in the UK
About this employer
University College London (UCL) is one of the UK’s leading multidisciplinary universities, home to over 13,000 staff and 42,000 students representing 150 countries. Renowned globally for excellence in teaching and research, UCL is consistently ranked among the world’s most successful academic institutions.
Each year, UCL spends more than £600 million with external suppliers. Our procurement function is dedicated to delivering a best-in-class service that aligns with UCL’s Sustainable Procurement Strategy and supports the university’s broader objectives.
We recognise the significant value that can be achieved through smarter sourcing, effective supplier management, and improved demand planning. By driving revenue growth while maintaining cost efficiency, UCL will secure the financial capacity needed to invest in its future and achieve the ambitions set out in the 2034 Strategic Plan.
After this apprenticeship
Upon completion of the apprenticeship, you will have a Level 3 qualification as a data technician.
Ask a question
The contact for this apprenticeship is:
TECHNICAL PROFESSIONALS LIMITED
The reference code for this apprenticeship is VAC2000010349.
Apply now
Closes in 20 days (Friday 13 February 2026 at 11:59pm)