Funding Analyst

• Support the algorithm-driven allocation of research funds to higher education providers by developing a sound knowledge of the Higher Education sector data used by the analyst team to underpin funding allocations.
• Develop a sound knowledge of the algorithm-driven (formula-based) research funding methods used by Research England and collaborate with colleagues to develop, maintain and implement funding models.
• Support the team by challenging assumptions, considering data and methodological limitations, and suggesting solutions.
• Engage with quality assurance and publication processes for disseminating outcomes.
• Provide broader sector analysis by supporting the development of new approaches and analytical models that underpin sector benchmarking activities.
• Investigate available datasets and determine possible metrics for use in sector analysis.
• Collaborate with colleagues on ways to gain sector insight from datasets, and how to visualise this data to aid in supplying insight to internal and external stakeholders.
• Ensure that the team QA process is always followed and make sure that QA approvals are escalated as necessary.
• Support the development and maintenance of analytical tools to facilitate the teams’ activities.

Requirements

• An RQF level 3 qualification (equivalent to A-level) in a numerate subject, or relevant experience.
• Knowledge of the practical application of analytical methodologies, with ability to develop new approaches for analysing and utilising data, rather than relying on rote application of standard methods.
• Ability to critically review and assess data, methods, and processes in a careful and systematic way, identify potential issues or limitations, and suggest practical improvements or alternative approaches.
• Experience of coding in the R language to manipulate datasets.
• Experience of checking the accuracy and reliability of analytical work, including writing well-structured code and following good practices to ensure outputs are correct and easy to maintain.
• Ability to collaborate with colleagues on the development of work areas and contribute to high-profile processes or projects.
• Ability to plan and manage a varied workload, adapting to changing priorities effectively.
• Good written and verbal communication skills, with the ability to clearly explain data and analysis to non-specialists, ask clarifying questions, and engage in constructive discussions with colleagues to explore ideas and develop solutions.

Core Competencies

Demonstrates expertise in analytical methodologies and data manipulation, particularly using R, to support funding allocation and sector analysis in higher education. Capable of developing new analytical approaches and effectively communicating insights to diverse stakeholders.

Highest-signal resume keywords

• R Language Coding
• Analytical Methodologies
• Data Manipulation
• Quality Assurance Processes
• Stakeholder Communication

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Algorithm Development
• Statistical Methods
• Dataset Investigation
• Analytical Tool Development

Soft Skills

• Critical Thinking
• Collaboration
• Adaptability
• Communication
• Problem Solving

Certifications & Qualifications

• RQF Level 3 Qualification

Industry Keywords

• Higher Education Sector
• Research Funding
• Benchmarking Activities
• Quality Assurance
• Data Visualization

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