Institution: University of Nottingham
United Kingdom
Description :

The University’s Human Resources Department has an exciting opportunity for an analytical, self-motivated individual looking for a varied HR Data Analyst role to make their own. 

The focus of this role will be production and analysis of HR data analytics across a range of areas including in support of our Equality, Diversity and Inclusion agenda. To support the delivery of our vision for the University’s future we require an experienced Data Analyst to extract, manipulate and interpret a variety of large, disparate datasets to provide insights, draw conclusions and make recommendations. Your work will directly contribute to the success of the University including through our work towards Quality Charter Marks such as Race Equality and Athena Swan together with statutory Gender Pay Gap reporting and Freedom of Information requests. You will also support various HR projects through data provision and analysis. Working both independently and as part of a team, you must be able to demonstrate the ability to prioritise and manage your own workload whilst demonstrating flexibility to help other team members. Additionally, you will undertake operational work activity including system maintenance and dealing with ad-hoc requests for HR data. This is a challenging role with lots of autonomy that will require a proactive approach from the get-go.

To succeed, previous experience of working in a data analysis role where interrogating, analysing and interpreting data formed a key part is essential. You will have experience of using a variety of IT systems containing data e.g. HR / Finance system. You will ideally have worked with HR-related data and will have the highest level of attention to detail. Your Excel skills will be at an advanced level and experience of using Tableau or similar data visualisation software is essential. You should have excellent communication skills to work collaboratively and quickly build a network of good relationships, respond positively to change and be experienced in using your initiative to identify and solve a range of data related problems.

The successful candidate will be educated to degree level (or equivalent) or have extensive relevant work experience, demonstrating practical and theoretical knowledge. 

This position is Fixed term for 10 months. Hours of work are full-time (36.25 hours) ; however applications are also welcome from candidates wishing to work part-time (minimum 29 hours per week). Please specify in your application if you wish to work part time and the number of preferred hours. Job share arrangements may be considered.

If invited to interview you will be required to complete a psychometric test, an Excel test and undertake a short presentation to the interview panel.  

Requests for secondment from internal candidates will be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role.

In return, you’ll receive generous holiday entitlement of up to 43 days per annum including Bank Holidays and University closure days (pro-rata) and a benefits package including contributory pension scheme and a range of voluntary benefits including an Employee Assistance Programme.

Informal enquiries may be addressed to Vincent Bryce, email Please note that applications sent directly to this email address will not be accepted.

Closing Date: 28 Oct 2021
Category: Administrative, Professional and Managerial (APM)

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