Location: United Kingdom
Salary: £40,247 – £45,163 per annum (Grade 7)
Closing Date: 10 March 2025
Certificate of Sponsorship (COS): Available
Job Purpose
The University of Glasgow is seeking two exceptional Data Analysts to join our Planning, Insight and Analytics team. These full-time roles offer a dynamic opportunity to contribute to data-driven insights that inform high-level decisions at the University. One position focuses on admissions data and student number forecasts, while the other targets domestic league tables and the student journey.
You will be part of a supportive and talented team, delivering actionable insights that shape the University’s strategic direction. If you have a passion for data analysis, are proficient in extracting and interpreting data, and thrive in a collaborative environment, we encourage you to apply.
Key Responsibilities
As a Data Analyst at the University of Glasgow, your role will include a variety of exciting duties and opportunities to make a significant impact. Below are the core responsibilities of the position:
1. Data-Driven Insight and Analysis
- Deliver statistically robust analysis in key areas including learning and teaching metrics, student progression (continuation and graduation), research quality, and grant awards.
- Provide critical insight to help understand and improve the student experience, research performance, and operational aspects across the university.
2. Reporting and Governance Support
- Support the University’s governance and management structures by generating reports and insights for key committees. This will help inform decision-making at the highest levels.
- Collaborate with internal stakeholders to improve understanding of the University’s strategic initiatives and operational challenges.
3. Subject Matter Expertise
- Act as the subject matter expert on key dimensions of analysis, such as league tables, equality and diversity monitoring, and other important metrics within the University.
4. Data Storytelling and Communication
- Transform complex data into engaging, actionable stories for different audiences, from senior management to department staff.
- Ensure that data is communicated effectively, highlighting trends, key messages, and areas of focus to facilitate informed decision-making.
5. Collaborative Engagement
- Work closely with colleagues across the Planning, Insight, and Analytics team to leverage technology and data tools for presenting insights.
- Engage with external groups, conferences, and seminars to stay updated on higher education developments and share best practices.
6. Strategic Direction Contribution
- Help shape the strategic direction of the Planning, Insight, and Analytics function, contributing to innovative solutions to address evolving challenges in higher education.
Essential Qualifications and Skills
The ideal candidate will have a combination of technical expertise, data analysis skills, and the ability to effectively communicate insights. Below are the qualifications, skills, and experience required for this role:
Qualifications
- Degree-level education or equivalent professional training in a relevant field (e.g., data science, statistics, economics).
- Knowledge of analytical techniques and their application in real-world scenarios.
Skills
- Data Analysis: Strong ability to perform data analysis, identify patterns, and communicate findings through visualisation tools such as Tableau, PowerBI, or Qlik Sense.
- Statistical Proficiency: A good understanding of probability, statistical concepts, and data science methods is essential.
- Attention to Detail: Ability to process large volumes of data with a high degree of accuracy and attention to detail.
- Communication: Excellent interpersonal, organizational, and presentation skills. The ability to adapt communication styles for different audiences.
- Time Management: Strong ability to meet deadlines, prioritize tasks, and handle competing demands.
Experience
- Data Analysis Experience: Proven experience working with data and producing insightful analysis.
- Data Visualization Tools: Familiarity with business intelligence and data visualization software (Tableau, PowerBI, or similar).
- Experience in Higher Education (Desirable): Knowledge of higher education guidelines and university policies would be beneficial but not essential.
Desirable Experience
- Reproducible Data Science Techniques: Experience with SQL, Python, or R for data analysis and working collaboratively with data science teams.
- Higher Education Experience: Previous work in a higher education setting or with academic data analysis is advantageous.
Terms and Conditions
- Salary: £40,247 – £45,163 per annum (Grade 7)
- Location: The University of Glasgow, UK
- Work Type: Full-time, permanent and fixed-term contract positions available
- Relocation Assistance: Provided where appropriate
- Closing Date: 10 March 2025
- Certificate of Sponsorship: Available for eligible candidates under the Skilled Worker Visa route
Why Work at the University of Glasgow?
Working at the University of Glasgow offers numerous benefits, including:
- Competitive Salary: Earn £40,247 – £45,163 per annum, with opportunities for growth and advancement.
- Collaborative Environment: Be part of a dynamic, supportive team that values innovation, collaboration, and professional growth.
- Career Development: The University is committed to continuous learning and provides various training opportunities to support your career growth.
- Flexible Working: We offer flexible working options to support a healthy work-life balance.
How to Apply
If you’re excited about the opportunity to contribute to the University of Glasgow’s mission and growth, we encourage you to apply. Please submit your application by 10 March 2025.
- For informal inquiries, please contact:
Eligibility
To apply for this role, you must be eligible to live and work in the UK. If you require a Skilled Worker visa, please ensure you meet the eligibility requirements under the Skilled Worker visa route.
For more information on the Skilled Worker visa, please visit:
Skilled Worker Visa Information