Research Assistant - Participatory Toolkit

Working with the Director of HR Operations, Head of Contingent Workforce and Procurement Directorate, this role will be responsible for sourcing, collecting, organising, analysing and interrogating all recruitment related spend category data. Findings will be reconciled to recruitment outcomes so that the spend can be attributed to contingent worker salaries and fees, agency placement fees and advertising related recruitment costs, with the overall aim to reduce spend on non-permanent agency costs. All data and analysis to be the presented and translated into information and insight that meets the needs of various stakeholders across the university and will contribute to a drive to reduce overall costs.  

This is a hybrid position, you will be expected to work in the office 2 days per week. 

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The job holder will source and gather data from known/standard sources - manipulating routine data so it can be interpreted by others. They may be required to select the most appropriate procedure, technique or approach to conduct analysis and research, deciding how to undertake the work as well as analysing, identifying, and interpreting trends. The job holder will be expected to have excellent understanding of specialist tools to extract the data needed as well as an advanced knowledge of Excel, Power BI, Tableau etc. 

•  Work with HR and Procurement teams to investigate and identify all agency and advertising recruitment spend using a variety of systems and platforms. 
• Work with the Recruitment advisers to ascertain the actual status and outcome of all current vacancies.  
• Collaboratively work with internal and external stakeholders to investigate and review the data required to complete the objective of reducing agency spend within Kings for non-permanent staff. 
• Identify activity data for each vacancy advertisement, including views, impressions, applications, shortlisted candidates, and placements, to ascertain value for money and inform future decisions. 
• Produce visualisations and reports (using tools like Tableau, Power BI, and SQL) and present findings to both technical and non-technical stakeholders in a clear, actionable manner showing usage data and trends to inform future sourcing and hiring decisions.  
• Create data dashboards, graphs and visualisations 
• Work with the recruitment team to incorporate data capture and analysis.  
• Support Manager with data analysis for all activity with all external providers. 

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post. 

Essential criteria 

​Experience using PowerBI for data analysis and reporting   

​Strong technical skills in data analysis, optimisation, and dashboard creation.  

​Strong analytical skills, with the ability to interpret and synthesise large data sets.  

​Experience of collaboratively working with internal and external stakeholders. 

​Excellent communication and problem-solving abilities.  

​Problem-solving skills with the ability to troubleshoot data issues and improve reporting processes.  

​Strong attention to detail and commitment to data accuracy. 

​Desirable criteria 

​Experience in the higher education sector or a similar environment.  

​Experience working with other data visualisation tools and methodologies. 

The research assistant will conduct statistical analysis with quantitative survey and administrative datasets, estimate regression models, conduct literature searches and reviews, work with geospatial maps, and prepare outputs in the form of tables, figures and presentation slides for a project titled ?Developing Youth Groups In Bangladesh To Support Peers At Risk Of Early Marriage?. This work will be carried out under the supervision of the project?s Principal Investigator.

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Required experience/skills for this role include knowledge of, and experience working with, STATA and LaTeX.

Experience with Overleaf, geospatial software such as ArcGIS/QGIS, and ability to read and comprehend Bangla are desirable but not essential for the role.

The role-holder is also expected to have some PGT training in Economics, Statistics and Econometrics and prior research experience.

To be a model for Year 2 MBBS students to perform a 12-lead electrocardiogram (ECG). You will be required to lie on a couch for up to 2 hours (inclusive of breaks) with the torso exposed so the students can practice performing an electrocardiogram. This task involves placing adhesives and electrodes on the surface of the exposed chest wall to obtain a tracing of your heart's electrical activity. The students will operate the machine to obtain the ECG and interpret the findings. Each session is divided into two 45 minute segments with about 15 students per session. The students will rotate during the session to enable them all to operate the ECG machine and practice placing the electrodes on the chest wall at the correct positions. The session is facilitated by a medical education fellow.

No qualifications required.

No experience or skills required.