Principal Statistical Analyst
| Dyddiad hysbysebu: | 25 Tachwedd 2025 |
|---|---|
| Cyflog: | £42,000 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 08 Rhagfyr 2025 |
| Lleoliad: | SW England, UK |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 4 ddiwrnod yr wythnos |
| Cwmni: | Jisc |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | #386 |
Crynodeb
The role:
Join our team to analyse complex data and communicate meaningful insights. You’ll provide expert input in the analysis of higher education data and statistical product development. This requires an appropriate level of domain knowledge or the capacity to develop such knowledge rapidly. This also requires the ability to schedule and monitor work, set priorities, coordinate work of more junior data analysts, and provide technical and/or statistical support and advice. The precise configuration of the knowledge and skills required will differ from role to role.
What you’ll be doing:
Takes the lead on larger or more challenging work packages, agreeing a mutual schedule for that work with colleagues.
Plans & schedules work, manages projects, identifies, and agrees priorities across the team, ensuring an appropriate level of quality is maintained throughout.
Develops a wide understanding of HESA data and becomes a subject matter expert. Understands the wider HE landscape and how the HESA data fits in and is used by our customers. Works with our stakeholders when issues are identified or to provide expert advice or guidance. Supports others in maintaining high standards and compliance. Internally this may be through knowledge sharing, coaching, and mentoring, and identified external training and development requirements.
Providing the strategy and prioritisation around the key areas to develop processes, and improve efficiencies, ways of working and outputs. To coordinate the implementation of these (i.e. through measures such as Reproducible Analytical Pipelines (RAP)).
Responsible for the production and development of new processes and statistical measures and products.
Develops effective solutions and smarter ways of working to drive efficiency savings.
Uses advanced data manipulation techniques and/or statistical skills to analyse HESA data. This could be to do more advanced work on trend analysis or correlating trends, to quality assure datasets, or to improve statistical output products.
May include line management responsibilities for more junior analysts.
Join our team to analyse complex data and communicate meaningful insights. You’ll provide expert input in the analysis of higher education data and statistical product development. This requires an appropriate level of domain knowledge or the capacity to develop such knowledge rapidly. This also requires the ability to schedule and monitor work, set priorities, coordinate work of more junior data analysts, and provide technical and/or statistical support and advice. The precise configuration of the knowledge and skills required will differ from role to role.
What you’ll be doing:
Takes the lead on larger or more challenging work packages, agreeing a mutual schedule for that work with colleagues.
Plans & schedules work, manages projects, identifies, and agrees priorities across the team, ensuring an appropriate level of quality is maintained throughout.
Develops a wide understanding of HESA data and becomes a subject matter expert. Understands the wider HE landscape and how the HESA data fits in and is used by our customers. Works with our stakeholders when issues are identified or to provide expert advice or guidance. Supports others in maintaining high standards and compliance. Internally this may be through knowledge sharing, coaching, and mentoring, and identified external training and development requirements.
Providing the strategy and prioritisation around the key areas to develop processes, and improve efficiencies, ways of working and outputs. To coordinate the implementation of these (i.e. through measures such as Reproducible Analytical Pipelines (RAP)).
Responsible for the production and development of new processes and statistical measures and products.
Develops effective solutions and smarter ways of working to drive efficiency savings.
Uses advanced data manipulation techniques and/or statistical skills to analyse HESA data. This could be to do more advanced work on trend analysis or correlating trends, to quality assure datasets, or to improve statistical output products.
May include line management responsibilities for more junior analysts.