Timetabling Officer Apprentice - Birmingham
GLOBAL BANKING SCHOOL LTD
Birmingham (B5 4LJ)
Closes in 27 days (Tuesday 2 December 2025)
Posted on 4 November 2025
Contents
Summary
We’re looking for an enthusiastic and motivated Timetabling Officer Apprentice to join our Timetabling team. In this role, you’ll have a varied workload and play an important part in helping to plan and organise academic timetables while developing valuable skills in scheduling, data management, and teamwork.
- Wage
-
£20,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, 9.00am - 6.00pm.
40 hours a week
- Start date
-
Monday 5 January 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
Main Responsibilities:
- To assist the Timetabling team to prepare and maintain academic timetables across different departments and campuses, ensuring schedules run smoothly.
- Support with updating and managing staff and student schedules, including any changes to classes, rooms, or resources.
- Assist in managing user accounts within the timetabling system, setting up access for new starters and updating permissions as needed.
- Respond to timetabling queries from staff and students, offering clear and helpful information or guidance.
- Keep accurate records of all timetable changes and updates to support auditing, reporting and data integrity.
- Work with data to analyse attendance or any timetabling related matters and help create reports for managers and other stakeholders.
- Collaborate with colleagues across academic and administrative teams to support the effective delivery of timetabling operations.
- Adhere to GBS policies and data protection regulations to make sure all information is handled safely and correctly.
- Carry out any other duties reasonably commensurate with the role, as directed by the Senior Timetabling Officer.
Where you'll work
Norfolk House, Smallbrook Queensway
Birmingham
B5 4LJ
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
- Problem solving skills
- Customer care skills
- Team working
Other requirements
Starting salary is £20,000.
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 VAC1000349398.
Apply now
Closes in 27 days (Tuesday 2 December 2025)
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