The role holder will support a range of the University’s strategic and operational planning activities by undertaking statistical analysis of multiple datasets (including statutory returns, student survey data, student applications and enrolment data, and so on) with an emphasis on predictive analytics and scenario modelling. Proactively provide reliable and forward looking analysis, advice and information, highlighting any issues where intervention may be required to maintain or improve performance and undertake developments to deliver more effective planning processes. Lead the University’s evolving development of high-quality strategic and operational analytics
Experience of the Higher Education sector is not essential but it is critical that you have excellent numerical, analytical and modelling skills and the ability to identify strategic implications from data analysis. Degree (minimum 2.i) or equivalent experience. Chartered Statistician (CStat) of the Royal Statistical Society (or equivalent). Highly credible, with significant experience of applying relevant statistical techniques across a range of large and complex datasets
Data Modeller / Statistician Ref 3448 Department : Planning, Governance and Compliance Hours : Full time Reference : 3448 Salary : Grade 7 (Starting at £32,538 increasing to £38,833). Please note that a market supplement is available for this role. Closing date : 22 July 2018. Applications must be received by midnight of the closing date. Expected interview date: Thursday 9th August 2018 Expected start date : As soon as possible Job description The University of Sussex is a dynamic, innovative, top 20 university. With a campus based in the South Downs National Park but just a few minutes from the city of Brighton and Hove, it provides an excellent working environment in a remarkable setting, combined with all that the city has to offer. Creative thinking, intellectual challenge and collaborative working are fundamental to a Sussex education and that is reflected in our workplace too. So this is an exciting chance to join a team working at the centre of the University, with a genuine opportunity to make a different to long-term institutional policy and planning. The role sits within the Planning, Governance and Compliance Directorate which supports the development of the University through the provision of strategic planning and high quality data, project management support and governance services. The team plays a key role in promoting how strategic decisions are made and achievements are fostered at Sussex. The role holder will support a range of the University’s strategic and operational planning activities by undertaking statistical analysis of multiple datasets (including statutory returns, student survey data, student applications and enrolment data, and so on) with an emphasis on predictive analytics and scenario modelling. Working with and alongside colleagues from across the institution, you will provide high quality support to development projects (through modelling, for example, student growth and space usage), the University’s management of risk as well as various aspects of the annual academic cycle and business planning cycle. Experience of the Higher Education sector is not essential but it is critical that you have excellent numerical, analytical and modelling skills and the ability to identify strategic implications from data analysis. This is an excellent opportunity to bring a range of skills and experience to bear in an exciting time of growth at one of the UK’s top Universities. If you would like to discuss the role in further detail, please contact Alexandra Elliott, Head of Planning, Information Management and Compliance Alex.Elliott@sussex.ac.uk Download job description and person specification Ref 3448 [PDF 35.43KB] . How to apply Download our non-academic application form [DOC 183.00KB] and personal details and equal opportunities form [DOC 162.50KB] and fill in all sections. You must email your completed application, and personal details and equal opportunities form, to email@example.com . You should attach your application form and all documents to the email (don't use a web-based upload/weblink service) and use the format job reference number / job title / your name in the subject line. You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH. You might also be interested in: jobs our selection process how to get here.
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