Statistical Analyst
UK Research and Innovation
full-time
Posted on:
Location Type: Hybrid
Location: Bristol • 🇬🇧 United Kingdom
Visit company websiteSalary
💰 £37,841 per year
Job Level
Mid-LevelSenior
About the role
- To 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 SIRF funding allocations.
- Developing a sound knowledge of the algorithm-driven (also referred to as formula-based) research funding methods used by Research England and collaborating with colleagues to develop, maintain and implement funding models.
- Supporting the team by challenging assumptions, considering data and methodological limitations, and suggesting solutions.
- Critically evaluating and justifying the choice of methods and tools, using evidence to select and apply appropriate quantitative techniques for developing formula-driven funding allocation models, suggesting adaptations to approaches to effectively incorporate a variety of data sources.
- Engaging with quality assurance and publication processes for disseminating outcomes.
- Supporting the presentation of high-quality statistical advice and analysis undertaken by the team.
- To provide broader sector analysis by supporting the development of new approaches and 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 to aid in supplying this insight to internal and external stakeholders.
- Assisting with quality assurance checks when required by ensuring that the team QA process is always followed and making sure that QA approvals are escalated as necessary.
- Supporting wider areas of the Research Funding team activities as they arise.
Requirements
- Formal statistical training: Degree in mathematics, or another subject, or equivalent professional experience, containing formal statistical training.
- Analytical expertise: Knowledge of the practical application of statistical and mathematical methodologies, with ability to develop new approaches for analysing and utilising data, rather than relying on rote application of standard methods.
- Critical evaluation and problem solving: 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.
- Programming and data handling: Experience of coding to manipulate datasets.
- Quality assurance and coding standards: 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.
- Collaboration and project management: Ability to collaborate with colleagues on the development of work areas and contribute to high-profile processes or projects.
- Workload management: Ability to plan and manage a varied workload, adapting to changing priorities effectively.
- Communication and influence: 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.
Benefits
- Defined benefit pension scheme
- Excellent holiday entitlement
- Access to employee shopping/travel discounts
- Salary sacrifice cycle to work scheme
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical methodologiesmathematical methodologiesdata analysisdata manipulationcodingquality assurancedata visualisationformula-driven funding allocation modelsquantitative techniquessector benchmarking
Soft skills
critical evaluationproblem solvingcollaborationproject managementworkload managementcommunicationinfluence
Certifications
degree in mathematicsformal statistical training