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Human Resources (HR) is a trusted partner at the University, providing a broad range of specialist HR services across academic and professional departments.

 

We are looking for a proactive HR Analyst with an enthusiasm for data to join our team providing quality HR analytics and reporting across our academic and professional services divisions. 

 

What We Offer 

 

Your wellbeing at work matters to us, so we offer a range of family friendly and financial benefits including:

 

•        Hybrid working

•        An excellent contributory pension scheme

•        38 days annual leave including Bank Holidays

•        A comprehensive range of childcare services

•        Family leave schemes

•        Cycle loan scheme

•        Membership to a variety of social and sports clubs

•        Discounted bus travel and Season Ticket travel loans

 

About the Role

 

This is an important role that will extract, analyse, produce and deliver workforce information to support the HR operational management, policy development, and the completion of statutory and important returns for the University.

About You 

 

You will be a confident and capable analyst, with proven advanced skills in the use of MS Excel to manipulate large amounts of data as well as experience of extracting data and producing customised reports from databases.

 

You will need to demonstrate previous experience of working in a role which required high levels of data accuracy and excellent attention to detail. 

 

You will also be adept at working collaboratively with the wider HR Systems team to participate in data quality exercises, monitoring data quality, and assisting users in addressing any data quality issues as required.

 

Having experience of working with SQL, Tableau, R, Alteryx, or other similar tools would be an advantage but is not essential.

 

Having experience of working in the HE sector and/or in HR or a related field e.g. payroll, recruitment, pensions would be an advantage but is not essential.

 

We will also consider an internal secondment for a minimum of 12 months for internal applicant candidates wishing to gain valuable analytics experience in the University HR team.

 

We will be conducting interviews throughout this process and hold the right to close applications early should we find a suitable candidate.
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