Apple Recruitment are recruiting for a Research Officer within Statistics on behalf of the NI Assembly.
Main duties and responsibilities of the job are to:
· Engage with individual MLAs, Assembly Committees and the senior managers within the Assembly Secretariat in order to understand their research requirements;
· Retrieve and synthesise information from a wide range of sources, including online databases;
· Provide timely, accurate, high quality and impartial research, data analysis and advice on statistics and other issues to individual MLAs, Assembly Committees and the senior managers within the Assembly Secretariat;
· Produce a range of research outputs including customised research papers, legislative analysis briefings, and blog posts which are well written, concise and accessible;
· Present research briefings to Assembly Committees and respond to Committee members’ questions in public session;
· Facilitate public events, such as those which form part of the Knowledge Exchange Seminar Series (KESS) annually delivered at Parliament Buildings;
· Proactively forge and develop links with government officials, external research bodies/communities, and other parliamentary library and research services;
· Work collaboratively and collegially, as an effective team member;
· Contribute to the development of RaISe, including identifying potential new outputs and improved service delivery;
· Carry out such other duties, as may be required, which fall within the research business of RaISe;
· Comply with the Assembly’s Equal Opportunities and Dignity at Work policies and procedures; and
· Carry out other duties that the Assembly Commission reasonably requires of you.
If you wish to apply or would like more information, please email your CV in Microsoft word format to Caroline by clicking on the link below by noon on Tuesday 11th March 2025. You must also include a bullet pointed synopsis at the top of your CV, or provide a Cover Letter, demonstrating how exactly you meet the Essential Criteria below:
Essential Criteria: Applicants must, by the closing date for applications, have: 1. Be in possession of at least a second-class honours degree (or equivalent or post-graduate qualification), in which statistics and research were components of the degree; AND 2. Following completion of the above, have at least two years of work experience in: a) conducting statistical analysis (including hypothesis testing and regression analysis); and b) producing and delivering briefings involving the use of statistical methods and/or modelling to inform decision making.
c) Experience of designing questionnaires, implementing online surveys and analysing quantitative data.
Desirable Criteria:
Should shortlisting be required, the following shortlisting criteria will be applied in the order stated:
1. Be in possession of a post-graduate degree (or equivalent) (Masters or higher degree level gained via examination or research) in which statistics and research were components of the degree;
2. Have produced publications involving the use of statistical methods and/or modelling;
3. Have experience in data analytics and data visualisation, using tools such as Power BI, ‘R’ and/or Python.
Further Details:
· Hourly Rate based on £50,683 per annum
· Up to 3 months initially with possibility of extension
· Candidates must be available for immediate start (within 5 days of Access NI completion)
· Closing Date for CV’s: 12 noon on Tuesday 11th March 2025
· This area operates Hybrid working
If you wish to apply or would like more information, please email your CV in Microsoft word format to Caroline by clicking on the link below by 12 noon on Tuesday 11th March 2025.
Applicants must ensure their CV is accurate and up to date. The CV should include your full employment history inclusive of dates, all academic achievements and full personal contact details.
Please note only applicants that match this criteria can be considered for the role.
Apple Recruitment Services is acting as an Employment Agency in relation to this vacancy. Apple Recruitment Services is an Equal Opportunities Employer.