At a Glance
- Tasks: Analyse data to support quality improvement in medical education programmes.
- Company: The University of Liverpool, a leader in health and life sciences.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional growth.
- Other info: Join a diverse team committed to equality and inclusion.
- Why this job: Make a real impact on future healthcare professionals through data-driven insights.
- Qualifications: Experience in data analysis and strong IT skills required.
The predicted salary is between 35252 - 43086 £ per year.
Company: The University of Liverpool
Hours: Full-time
Location: Liverpool, L3 5TQ
Working pattern: On-site
Job type: Permanent
Posting date: 3 Sept 2026
Closing date: 17 Sept 2026
Summary:
The University of Liverpool Faculty of Health and Life Sciences (HLS) Institute of Life Courses & Medical Sciences Department of School of Medicine is seeking an Evaluation Data Analyst (Grade 6) with a salary range of £33,951 - £38,784 pa.
Applications are invited from highly organised professionals with experience in data analysis, evaluation, performance reporting and business intelligence. You will join the School of Medicine's Quality Team, working collaboratively with internal and external stakeholders to support the continuous monitoring, evaluation and enhancement of the MBChB programmes.
Using diverse data sources, you will produce meaningful analysis, identify trends and provide evidence-based insights to inform quality assurance and improvement activities. You will have excellent IT and analytical skills, with experience managing and interpreting large datasets, producing high-quality reports and presenting complex information in accessible formats for a wide range of stakeholders effectively.
Our commitment to Equality, Diversity and Inclusion:
We are committed to enhancing a workforce as diverse as our community and particularly encourage applicants who are of minoritised genders and ethnic backgrounds, living with a disability, and/or are members of the LGBTQIA+ community.
Evaluation Data Analyst employer: University of Liverpool
The University of Liverpool Management School is an exceptional employer, offering a vibrant and supportive work environment in the culturally rich city of Liverpool. With a strong commitment to research excellence and student experience, employees benefit from extensive professional development opportunities and a collaborative culture that values diversity and innovation. The School's state-of-the-art facilities and ambitious strategic vision for 2031 further enhance its appeal as a leading institution for those passionate about organisational psychology and management education.
StudySmarter Expert Advice🤫
We think this is how you could land Evaluation Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like University of Liverpool!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Evaluation Data Analyst at University of Liverpool.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like University of Liverpool.
✨Apply Directly through Our Website
When you find a suitable opening like Evaluation Data Analyst at University of Liverpool, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Evaluation Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at University of Liverpool, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at University of Liverpool. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at University of Liverpool
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at University of Liverpool!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
