Apprentice Space and Information Co-ordinator

Summary

The Estates department are looking for an apprentice to join their Space and Digital team who manage a broad range of space and data related queries and monitor and analyse space data to support space strategy and improve space utilisation. You will complete a Data Analyst apprenticeship whilst learning to complete a range of duties for the team.

Wage

£26,037 a year

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The salary will rise to £32,546 after 12 months service.

Training course

Data analyst (level 4)

Hours

Monday to Friday 9am- 5pm

37 hours 30 minutes a week

Start date

Monday 1 September 2025

Duration

1 year 7 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

Support the development and implementation of strategies and plans to optimise the use of University space
Assist BIM Technicians with maintaining the accuracy and coverage of the University’s space records and BIM Models
Designing layouts using space planning BIM methods
Use Space Management systems to monitor and report on the efficiency of the estate against agreed Estates’ objectives and targets
Undertake a variety of administration duties to support the team in the area of Space and data analysis
Identify, collect and migrate space data to/from a range of internal and external systems
Manipulate and link different data sets to inform space management activities and benchmarking
Interpret and apply the Estates data and information security standards, policies and procedures to data management activities
Perform space database queries across multiple tables to extract data for analysis
Perform routine statistical analysis for estates reporting and ad-hoc queries for space management activities
Use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in space data
Assist production of performance dashboards and reports
Assist with data quality checking and cleansing
Apply the tools and techniques for data analysis, data visualisation and presentation including Power BI

Where you'll work

Edgbaston
Birmingham
West Midlands
B15 2TT

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

QA LIMITED

Your training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome
Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

The training will take place online with QA

Requirements

Essential qualifications

GCSE in:

English (grade 9 to 4 (A* to C))
Maths (grade 9 to 4 (A* to C))

A Level in:

Any (grade A-E)
Maths, Economics or ICT (grade A-E)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
IT skills
Attention to detail
Organisation skills
Customer care skills
Problem solving skills
Number skills
Analytical skills
Logical
Team working

About this company

A world top 100 university and part of the prestigious Russell Group, the University of Birmingham makes important things happen. Delivering groundbreaking research and excellent research led teaching. People are at the heart of what we are and do. The University of Birmingham is proud to have been a part of the City of Birmingham and the wider region for over 100 years, and we are equally proud to be recognised as a leading global university. We want to attract talented people from across the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide-range of functions in Edgbaston and in our campus in Dubai, there are plenty of opportunities for you to be able to develop your career at the University. We believe there is no such thing as a typical member of staff and that diversity is a source of strength that underpins the exchange of ideas, innovation, and debate. We warmly welcome people from all backgrounds and are committed to fostering an inclusive environment where diversity is at the heart of who and what we are, and how we work. Supporting our people to achieve a healthy work/life balance is important both to our employees and to the success of the University and, depending on the role, we offer a variety of flexible working arrangements. We therefore welcome discussions on all forms of flexible working. In addition, you will receive a generous package of benefits including 40 days paid holiday a year, one paid day a year for volunteering, occupational sick pay, and a pension scheme. We also have three high quality subsidised day nurseries. The University is situated in leafy Edgbaston and there are excellent transport links to our beautiful campus, including main bus routes and a train station on site. On campus we have a state-of-the-art sports centre with pool, shops, places to eat and drink, our own art gallery, museum, and botanical gardens.

https://www.birmingham.ac.uk/jobs/apprenticeships (opens in new tab)

Company benefits

https://www.birmingham.ac.uk/jobs/staff-benefits

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

On completion of this apprenticeship, you may be able to progress into the following role of Space and Data Co-ordinator or another data related role

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