Data Technician Apprentice – UCL – London, WC1H 9BT - £27,586p/a – 37.5 hrs/w

UNIVERSITY COLLEGE LONDON

London (WC1H 9BT)

Closes in 13 days (Sunday 27 September 2026 at 11:59pm)

Posted on 11 September 2026

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Summary

The UCL central Finance Division is responsible for the management of UCL's financial performance, strategy and for the provision of finance services and advice across the University. The team is responsible for the provision of high-quality financial data supporting strategic decisions, operational reporting and long-term planning.

Wage

£27,586 a year

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday- Friday Shifts to be confirmed

37 hours 30 minutes a week

Start date

Monday 2 November 2026

Duration

1 year 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

You will be part of the Financial Systems Reporting team which is responsible for operational support, maintenance and development of Axiom EPM, the system based financial reporting tool. You and the team are also responsible for supporting the Finance Data Owner and Data Stewards in ensuring financial data reported in Axiom, Tableau and Power BI is accurate through setting up and reviewing the data structures underpinning reporting.  

As part of the team you will have responsibility for the maintenance and development of financial reporting to ensure it provides accurate and timely financial information to users. In addition you will need to support the financial planning processes through the provision of system tools including the provision of financial, staff and student data as appropriate. You will also be required to work with the business to develop and improve the existing financial reporting suite including support the review of data used by other reporting where it relates to financial information and the use of data from other systems where it supplements financial reporting e.g. SITS, Oracle EBS. This will include testing of changes to other systems to ensure the interfaces and data feeds continue to support Axiom EPM reporting and is updated to include new data where appropriate.  

You will have good interpersonal skills and should be organised, flexible and supportive with an ability to manage their time efficiently. Strong Excel skills and a working knowledge of Microsoft Office software is essential. The role requires strong communication skills and the ability to work well within a team.  

Duties and responsibilities 

  • Maintains the suite of web and client based financial reporting, planning tools and data from Axiom EPM, including preparing guidance documentation as appropriate
  • Develop new tools and reporting per business requirements, including working with the business to develop and understand the specification and to prepare guidance documentation as appropriate
  • Maintains and develops the finance data warehouse, including data loads, integrations and data flows to support financial reporting and planning tools through both Axiom and other reporting systems such as Tableau and PowerBI
  • Supports on the maintenance and development of other systems such as SITS (Portico), Oracle EBS and others as required in particular to ensure reporting through Axiom is maintained and enhanced
  • Drives and delivers continuous improvement in financial reporting, processes and controls as relevant
  • Develops good working relationships with colleagues across finance to share best practice and to develop new reporting, planning tools, systems and processes
  • Contributes to training events, including leading on the provision of training where relevant to share specific skills and experience with finance colleagues from across the business
  • Contributes to team initiatives, adopting a collaborative approach to problem solving
  • Occasional out-of-hours support may be required during planned system changes to minimise disruption to the business, this may include evening or weekend working, but will be notified and agreed in advance with the line manager and compensated according to the relevant HR Policy

General 

  • Carry out any other duties within the scope, spirit and purpose of the job as requested by the line manager
  • Follow and actively promote the UCL Ways of Working
  • Follow and actively promote compliance obligations
  • Take responsibility to carry out duties in a way that embodies UCL's environmental and social sustainability values, actively supporting UCL's Sustainability Strategy, policies and objectives within the remit of their role

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 Level 3 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
  • Customer care skills
  • Problem solving skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative
  • Patience

Other requirements

It is a requirement to have five GCSE 9-4 grades or equivalent (including English and maths) to apply for this type of apprenticeship. If you do not have these grades but have completed numeracy and literacy Key Skills/Functional Skills at level two you may also apply for these apprenticeships.

Eligibility
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

Two centuries ago, our founders had a vision: to open higher education to all. Today, we are a world top-ten university in the heart of London, with a thriving community from over 150 countries

After this apprenticeship

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

  • Upon completion, the apprentice will have a Level 3 Data Technician qualification

Ask a question

The contact for this apprenticeship is:

TECHNICAL PROFESSIONALS LIMITED

The reference code for this apprenticeship is VAC2000052876.

Apply now

Closes in 13 days (Sunday 27 September 2026 at 11:59pm)