As a Senior Analyst at Research England you will be in a key position to design and deliver analytical processes that directly support the allocation of 2 billion of strategic institutional research funding (SIRF) and knowledge exchange funding to higher education providers in England. Working as a member of a fast-paced team committed to innovation and continuous improvement you will be responsible for managing work areas from design and development, through the crucial quality assurance processes, to delivery. These work areas cover the effective and timely delivery of funding operations, providing analysis and dashboarding to support senior and executive leaders in their decision making, and liaising with internal and external stakeholders to identify the data needed to support these tasks.
A sound understanding of an analytical product development cycle is crucial for this role, including significant experience of coding, analysing data and presenting findings. Equally important is experience of quality assurance processes, and an awareness of how these minimise errors in analytical outputs.
MAIN OUTPUTS AND ACTIVITIES
To support the algorithm-driven allocation of public funds to higher education providers by:
developing a sound knowledge of the Higher Education sector data used by the analyst team to underpin the funding allocations
developing a sound knowledge of the algorithm-driven (also referred to as formula-based) funding methods used by Research England and collaborating with colleagues to develop, maintain and implement funding models
synthesising datasets from partner organisations - collating and processing the required subsets for each funding stream
engaging with quality assurance and publication processes for disseminating the funding outcomes
To assist with quality assurance checks when required:
ensuring that the team QA process is always followed
making sure that QA approvals are escalated as necessary
To investigate solutions to data gaps and process data updates
by identifying and establishing solutions for data gaps in the underlying data
by processing updated data for the calculation of potential grant adjustments and subsequent amendment to existing datasets as required
produce financial reports to be completed by institutions as part of an annual exercise
validate and summarise the information within the completed financial reports
To operate the software system for annual monitoring surveys to:
To provide broader sector analysis by:
supporting the development of analytical models that underpin sector benchmarking activities
investigating available datasets and determining possible metrics for use in sector analysis
collaborating with colleagues on possible ways to gain sector insight from datasets and how these could feed data visualisations that may aid in supplying this insight to internal and external stakeholders
To provide support to stakeholders, responding to queries and providing advice:
By addressing internal and external queries as required - including creating technical documentation and providing subject-matter expertise to executive and council briefing papers.
Including liaison with the Office for Students, Jisc (HESA) and higher education providers
In the audits of data used within algorithm-driven funding
ASSESSMENT CRITERIA
(S) - ASSESSED AT SHORTLISTING
(I) - ASSESSED AT INTERVIEW
(S&I) - ASSESSED AT BOTH SHORTLISTING AND INTERVIEW
Degree in mathematics or another subject with significant numerical content or equivalent professional experience (S)
Experience of coding in R language to manipulate large complex datasets. (S&I)
Significant experience of analysing data including identifying relevant data sources and presenting analytical findings (S&I)
Able to provide significant input into technical or process development (S)
Experience of quality assurance processes, and an awareness of how these minimise errors in analytical outputs (S&I)
Strong written communication skills, including clarifying policy questions and guiding policy colleagues in interpretation of data (S)
Strong verbal communication skills, and able to explain technical details clearly, concisely, and tailored to the audience (I)
* Able to plan and manage a varied and demanding workload and respond to changing priorities (I)
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