Join to apply for the Asset Data Student Placement SLHD role at St Leger Homes of Doncaster.
Salary: £23,473 Per Annum Plus Many Other Benefits
Contractual hours: 37
Basis: Full time
Region: Doncaster
Job category/type: Administration/Clerical, Housing
Date posted: 12/03/2025
Job reference: REQ19670
Location: Doncaster / agile working. Hours/Type: 37 hours per week; Fixed 12 months starting on September 1st, 2025.
Closing Date: This opportunity is being advertised on a rolling basis and will be closed once a suitable applicant has been appointed. Interested parties are therefore advised to submit their application at the earliest opportunity.
The Post holder will be based at our Shaw Lane office in Doncaster, however, travelling around the borough may be required. We would therefore expect you to be based within or close to the local area for this placement.
Are you currently studying towards a degree in asset or property management, Data Science, Business, Business Analytics, Statistics or similar, and looking for your 12-month industry placement opportunity in an award-winning, customer-focused and forward-thinking organisation?
St Leger Homes is an award-winning, customer-focused social housing provider that manages over 19,000 homes on behalf of City of Doncaster Council and an exciting opportunity has arisen within our Asset Team for an Asset Data Student Placement.
Starting on 1st September 2025 and reporting to the Asset Data Manager, the postholder will work as part of a professional, multi-disciplinary team that provides information to the asset data and planning team, ensuring that all asset data and information is captured as required and is accurate, robust, up to date and remains fit for purpose. Furthermore, you will support the asset data and planning team in the planning, development, and timely issuing of asset improvement programmes in line with the approved Asset Management Strategy, and in the ongoing analysis of asset data, forecasting and ensuring the provision of regular affordability assessments.
Candidate Requirements:
The post requires a dedicated person who is currently studying to achieve a qualification in Asset or Property Management, Data Science, Business, Business Analytics, Statistics or similar which could include data analysis. You need to be organised, great with IT, have the ability to analyse and work with complex and large volumes of data and information, and be able to show attention to detail as it is really important that our data is right. Problem solving and logical thinking skills are also important as well as the ability to be self-motivated.
For This Commitment, We Will Give You:
* Enrolment to the Local Government Pension Scheme.
* Support in your career by offering a wide variety of formal training through a combination of in-house and externally provided courses.
* A flexible approach to your work life balance including agile working.
* A generous annual leave entitlement starting at 27 days a year plus bank holidays.
* Access to paid for private healthcare with the opportunity to upgrade.
* And many more attractive benefits which our colleagues regularly enjoy.
If you would like an informal discussion about the job or any further information please contact Dean Leggott, Asset and Environmental Service Manager, on 01302 736639 or email.
Application Process: Please complete the online application form on the St Leger Homes Recruitment page of our website or submit your CV as below. CVs with a covering letter will be accepted as a form of applying for this post, however, applicants must demonstrate how they meet the essential and desirable criteria as shown in the person specification section of the job description in order to be considered for shortlisting.
Closing Date: This opportunity is being advertised on a rolling basis and will be closed once a suitable applicant has been appointed. Interested parties are therefore advised to submit their application at the earliest opportunity.
Interviews will occur on a rolling basis once applications have been shortlisted.
Seniority level
* Internship
Employment type
* Contract
Job function
* Education
* Industries
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