To provide research and analytical work to the Smart Specialisation Hub in support of England's local innovation investments, applying the principles of Smart Specialisation, place-based growth and Government policy to the specific context of local areas.
The Hub is funded by Government and improves decision-making by local agencies when planning support for innovation and growth, using mutual learning exercises and sharing best practice in marrying local strengths to national strategies and global opportunities.
This role will suit an experienced research analyst with demonstrable knowledge of the geography of innovation systems, and expertise applying this knowledge to innovation policy and practice.
The role will report to the Hub Policy Manager within the National Centre for Universities and Business (NCUB) but will work with our delivery partners, principally the Knowledge Transfer Network; therefore demonstrable experience in local stakeholder management is highly desirable and influencing skills are essential. Demonstrable skill in drafting and relating complex analytical themes to non-specialist audiences would also be advantageous.
Grade and Conditions:
Specialist analysis role on a Fixed Term Contract. The initial term is until August 2018 with a starting date as soon as possible.Key accountabilities:
- To work from an analytical framework for assessing local innovation performance across England, populated with data sourced from official statistics and other open data sources, to develop extensive mapping and contextual understanding of localities;
- To work with relevant stakeholders across localities so that the analytical framework is maintained within the Hub and fit for the purpose of informing decisions taken by central and Government and other actors, on collaboration for innovation;
- To undertake reviews of existing local innovation strategies across local stakeholders and provide bespoke analytical assessments of the use and application of data and evidence to support the proposed strategies;
- To support the collation of intelligence and analysis required for an annual review of Smart Specialisation for England.
The post holder will lead on the evidence gathering and analytical work of the Smart Specialisation Hub. This spans analytical, stakeholder and administrative responsibilities from data gathering and validating to organising and running information sessions to gain insights from stakeholders about their satisfaction with progress.Job responsibilities
- To develop and curate an objective framework of assessment of innovation assets and systems prevailing in English localities fit for the purpose of comparing relative innovation strengths in local areas.
- To source and analyse data relating to local innovation performance using official statistics and other open data sources, so that the evaluation is transparent and replicable.
- To engage NCUB, Knowledge Transfer Network (KTN) and others in support of the Smart Specialisation Hub, and factor in continuous feedback on the use and shape of the Hub's research and analysis support and outputs.
- To undertake administrative duties connected to research activities, commensurate with the seniority of the post as required.
- To be familiar with and adhere to the NCUB's research ethics and equal opportunities policies and equality legislation and implement them in relation to job responsibilities in employment and service delivery.
- Any other duties required commensurate with the seniority of the role as directed by line manager.
- A good honours degree with, or in the process of completing, a post-graduate qualification with adequate quantitative content and specialism in the geography of innovation.
- Demonstrable experience in quantitative research, delivering to agreed timelines, meeting project milestones and producing research to an adequate standard.
- Sufficient knowledge of research methods and techniques to be able to design and deliver analysis for policy making.
- Documented experience in statistical analysis for decision and policy making and the geography of innovation, together with an interest in using qualitative evidence to complement or put data into context.
- Implementing data collation and presenting analysis to non-specialist audiences using accessible software, e.g. Excel, PowerPoint.
- Being articulate and responsive to the needs of lay audiences and multiple stakeholders with diverse remit and goals, such as public sector, local authorities, universities and businesses.