POSITION DETAILS:

Space and Digital Estate Team, Estates
Location: University of Birmingham, Edgbaston, Birmingham UK
Full time starting salary £26,037 per annum rising to £32,546 after 12 months service.
Apprentice Grade 6
Full Time / Fixed Term for 19 Months
Apprenticeship Standard: Data Analyst – Level 4
Training Provider: QA
Closing date: 20 July 2025 - please upload a CV with your application.
Interview date: 4 August 2025
Eligibility: The training delivered in apprenticeships is funded through the apprenticeship levy which is subject to Department for Education funding rules for apprenticeships. When reviewing applications the University and the training provider will be checking candidates meet this eligibility criteria . Further information is available on our webpage .
You have normally been a resident in the UK for the last 3 years. For exemptions please refer to the government funding rules for apprenticeships.

APPRENTICESHIP SUMMARY

The Apprentice Space and Data Co-ordinator will work within the Space and Digital Estate team managing a broad range of space and data related queries and monitor and analyse space data to support space strategy and improve space utilisation.
The Space and Data Co-ordinator will support the Space Management Strategy, and the continuing development of the Estates Space database for accurate Space related analysis and reporting.

The Space and Digital Estate Team are directly responsible for the delivery and management of a number of functions. This includes

• Building Information Modelling and Digital Twin processes and models, through capital delivery and maintenance of the models;
• Ownership of Document and Information Management processes for delivery on Capital and refurbishment projects;
• Space and Property Management, for space data management and space utilisation across the university.

The apprentice will contribute with the wider team to support the delivery of the Estate Strategy through developing the space database and analytics. Working under the direction of the Digital Information and Data Analytics Manager, the apprentice will assist in ensuring University space data is accurate and BIM models are fit for purpose. The apprentice will learn to develop space planning materials through BIM to assist with the delivery of Space Management changes.
The apprentice will assist with developing new ways of working, informing strategy through data analysis and champion best practice through technology and systems innovation. They will assist the team with on-site visits, surveys, other data collection methods and will be responsible for creating drawn and management information and reports from University data using a range of software and systems.

THIS APPRENTICESHIP WOULD SUIT:

• Someone looking to develop a career in data, data analysis and space management.
• The role will require someone who can organise their own time and complete the tasks required of them.
• We are looking for someone who is keen to learn and enjoys providing excellent customer service.

REQUIRED KNOWLEDGE, SKILLS, QUALIFICATIONS, EXPERIENCE

• GCSE English and Maths at grade 4 or C or above
• 2x A Levels (1 including Maths, Economics or ICT) or an International Baccalaureate at Level 3 in ICT or a Level 3 apprenticeship in a similar subject or a BTEC Extended Diploma in IT (180 credits)
• Logical and creative thinking skills
• Analytical and problem-solving skills
• Ability to work independently and to take responsibility
• Can use own initiative
• A thorough and organised approach
• Ability to work with a range of internal and external stakeholders
• Ability to communicate effectively in a variety of situations
• Maintain productive, professional and secure working environment
• Skilled Autodesk Revit User
• PowerBI experience and experience of data analysis tools
• Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly.

Desirable:

• Experience of using space management systems or CAFM (Computer Aided Facilities Management) systems (Planon being the University CAFM)

DURING THIS APPRENTICESHIP YOU WILL LEARN THE FOLLOWING DUTIES:

• 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
• Promotes equality and values diversity, acting as a role model and fostering an inclusive working culture.
• Supports the University’s sustainability agenda through resource efficient working.
• Any other duties commensurate with the grade.

The Space and Digital Estate Team are directly responsible for the delivery and management of a number of functions. This includes

• Building Information Modelling and Digital Twin processes and models, through capital delivery and maintenance of the models;
• Ownership of Document and Information Management processes for delivery on Capital and refurbishment projects;
• Space and Property Management, for space data management and space utilisation across the university