Data Technician Assistant Apprentice - East London
GLOBAL BANKING SCHOOL LTD
London (E3 2SE)
Closes in 19 days (Sunday 21 September 2025)
Posted on 2 September 2025
Contents
Summary
Exciting opportunity to join our exceptional Careers and Employability Service team. The role also requires you to work in partnership with colleagues across the departments. You will be the primary contact for collecting data and documentation across all campuses and will work collaboratively with the wider team to deliver a national service.
- Wage
-
£20,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, Shifts to be confirmed.
40 hours a week
- Start date
-
Monday 22 September 2025
- 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
- Utilising a variety of analytical techniques and tools, with a focus on Microsoft Excel
- Extracting, cleaning, and preparing data for subsequent analysis
- Learning and applying data visualization tools
- Gaining proficiency in checking, creating, adjusting, and maintaining data
- Acquiring and applying statistical techniques for data
- Plan, organise and complete own workload to meet project commitments within agreed schedules
- To maintain and support the growth of a database of placement and volunteering providers with suitable opportunities in Healthcare, Business, and other related fields and to connect employers with GBS students
- To ensure accurate work placement, careers and entrepreneurship student records are maintained and compiling reports required by department
- To develop online resources to support careers, placements and student opportunities
- To support with developing on campus activities, presenting information, delivering workshops and on campus events such as job fairs
- To undertake some travel between GBS campuses
- To regularly evaluate and review workshops and events and obtain feedback from students and employers
- To undertake any other duties that may be required to meet the demands of the service and the role
- Flexible in working hours to cover evening and weekend demands as necessary
Where you'll work
Global Banking School Ltd, 153-159 Bow Road
London
E3 2SE
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
METAGEDU APPRENTICESHIPS LTD
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
The successful candidate will complete a level 3 Data Techncian Apprenticeship
Requirements
Essential qualifications
GCSE or equivalent in:
- Maths (grade 4-9)
- English (grade 4-9)
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
- Team working
Other requirements
Starting salary is £20,000 - £23,000
About this employer
Global Banking School (GBS) is a dynamic and fast growing Higher Education provider with campuses across the UK. We are a vibrant and diverse family of committed staff bringing life-changing learning to a wider range of communities. Applying evidence-based research and corporate case studies to classroom learning, we provide higher education that has real impact and real world relevance.
After this apprenticeship
- Excellent progression available within the company
- This may lead to a permanent position with employer and future progression
Ask a question
The contact for this apprenticeship is:
METAGEDU APPRENTICESHIPS LTD
The reference code for this apprenticeship is VAC1000340075.
Apply now
Closes in 19 days (Sunday 21 September 2025)
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