Data Technician Assistant Apprentice - East London

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)

What you'll learn

• 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