Asset Data Student Placement Slhd

St Leger Homes Of Doncaster

Doncaster, United Kingdom
Not specified; benefits: local government pension ...
On-site
Currently studying asset or property management degree
Strong ability to analyze complex large volume data
High attention to detail for data accuracy
St Leger Homes of Doncaster is seeking a student for a 12-month Asset Data Placement, ideal for those studying asset management, data science, or related fields. The role involves supporting the asset data team with data management, analysis, and planning, while offering various employee benefits and a supportive work environment

Job Summary

  • This 12-month industry placement offers an opportunity to work within an award-winning, customer-focused social housing provider managing over 19,000 homes.
  • The role involves ensuring asset data is accurate, robust, and up-to-date while supporting the development of asset improvement programmes.
  • Candidates will receive extensive career support including formal training, flexible working arrangements, and generous annual leave starting at 27 days plus bank holidays.

Matching Summary

Match Score: 85

St Leger Homes of Doncaster is seeking a student for a 12-month Asset Data Placement, ideal for those studying asset management, data science, or related fields. The role involves supporting the asset data team with data management, analysis, and planning, while offering various employee benefits and a supportive work environment.

Salary

Not specified; Benefits: Local Government Pension Scheme, private healthcare, 27 days annual leave plus bank holidays

Skills & Requirements

Must-have

  • Currently studying Asset or Property Management degree
  • Strong ability to analyze complex large volume data
  • High attention to detail for data accuracy
  • Proficiency with IT tools and software
  • Logical thinking and problem-solving skills

Nice-to-have

  • Self-motivated and dedicated work ethic
  • Experience in business analytics or statistics
  • Interest in asset improvement programmes
  • Ability to work in a multi-disciplinary team
  • Flexible approach to work-life balance

Key Requirements

  • Current enrollment in Asset/Property Management, Data Science, Business, Analytics, or Statistics degree
  • Availability to start on 1st September 2026
  • Demonstrated potential to succeed in data analysis roles

Work Rights

Not specified

Tailored Resume

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