At a Glance
- Tasks: Analyse data, improve processes, and deliver effective solutions for the University.
- Company: University of Leeds, a vibrant academic environment with a focus on innovation.
- Benefits: 42 days holiday, gym membership discounts, personal development courses, and flexible working options.
- Other info: Hybrid working available with opportunities for career growth.
- Why this job: Join a dynamic team and make a real impact on university data services.
- Qualifications: Experience in data analysis and strong problem-solving skills required.
The predicted salary is between 29700 - 36300 £ per year.
This job is only available to University of Leeds staff. It may be released externally should we not appoint internally.
The interviews are expected to be held on the 18th November 2026.
This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Are you an enthusiastic and skilled Data Analyst?
Are you a strong problem solver with a passion for understanding how data, systems and business processes work together?
Do you enjoy working with stakeholders to identify requirements, improve processes and deliver effective data solutions?
Reporting to the Senior Data Analyst, you will play a key role in supporting and enhancing the University’s data and reporting services, including statutory returns.
You will investigate data-related issues, identify and rectify data quality problems, analyse business requirements, and design and implement effective data, reporting and operational solutions.
The role will have an initial focus on the HESA Student Return including supporting the implementation of upcoming changes relating to in-year returns and modular level reporting.
You will also contribute data and systems expertise to a range of projects across the wider University.
We are looking for an experienced Data Analyst to join our team.
In this role, you will work with diverse datasets, ensuring that data is accurate, accessible, and effectively used to support operational and strategic objectives.
You will collaborate with stakeholders to understand business needs and translate these into high-quality, user-friendly solutions.
You will support the development and continuous improvement of systems, processes, integrations, and reporting capabilities.
An effective team player, you will be self-motivated and able to prioritise your workload, manage competing demands, and deliver high-quality outcomes.
What we offer in return
- 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) - That’s 42 days a year!
- Health and Wellbeing: Discounted staff membership options a The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
- Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
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Data Analyst in Leeds employer: University of Leeds
The University of Leeds is an exceptional employer, offering a vibrant academic environment where innovation in teaching and research thrives. With generous holiday allowances, comprehensive health and wellbeing benefits, and extensive personal development opportunities, you will be supported in your professional journey while contributing to world-leading research in Plastic and Reconstructive Surgery. Located in the heart of Leeds, the university fosters a collaborative culture that values academic leadership and encourages meaningful contributions to the field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Leeds
✨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 Leeds!
✨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 Data Analyst at University of Leeds.
✨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 Leeds.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at University of Leeds, 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 Data Analyst in Leeds
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 Leeds, 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 Leeds. 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 Leeds
✨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 Leeds!
✨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.
