At a Glance
- Tasks: Analyse data and support the development of the University's research environment and culture.
- Company: Join Royal Holloway, University of London, a leader in research and innovation.
- Benefits: Enjoy generous leave, training opportunities, and a competitive salary.
- Other info: Work in a beautiful campus with hybrid working options and excellent career growth.
- Why this job: Make a real impact on research strategy and contribute to REF 2029 preparations.
- Qualifications: Strong analytical skills and experience in data interpretation are essential.
The predicted salary is between 41374 - 41374 £ per year.
Applications are invited for the fixed-term post of Research Environment Data Analyst within the Research and Innovation Directorate at Royal Holloway, University of London. This is an exciting opportunity to contribute to two of the University's strategic priorities: the development of our REF 2029 submission and the continued enhancement of our research culture and research environment.
Working as part of the REF team, the postholder will play a key role in supporting the development of the University's Supporting People, Research and Environment (SPRE) submission, helping to coordinate evidence, analyse data, support stakeholder engagement, and contribute to the production of a high-quality institutional return. The role offers a unique opportunity to work at the intersection of research strategy, data analysis, research culture and responsible research assessment.
Alongside supporting REF 2029 preparations, the postholder will contribute to the University's wider research performance and planning activity, developing analytical insights and evidence frameworks that support institutional decision-making and continuous improvement. The postholder will also contribute to a range of activities that support the University's research environment, research culture and responsible research assessment ambitions. This will include providing analytical and project support for initiatives designed to enhance the research experience and inform continuous improvement across the institution.
Working closely with academic and professional services colleagues across the University, the successful candidate will help departments understand and make effective use of research performance data, support the development of research environment narratives, coordinate review and assurance processes, and contribute to activities that strengthen the University's research environment and culture.
We are seeking an enthusiastic and analytical individual with excellent organisational and communication skills, who is comfortable working with complex information and engaging a wide range of stakeholders. You will have experience of analysing and interpreting data to support decision-making, producing clear reports and insights, and managing competing priorities within a fast-paced environment. Experience of working within the higher education sector and knowledge of the Research Excellence Framework would be advantageous.
This fixed-term role provides an excellent opportunity for someone looking to develop expertise in research assessment, research strategy, research culture, responsible research evaluation and institutional performance analysis within a supportive and collaborative environment, while contributing directly to the University's REF 2029 preparations.
In return we offer a highly competitive rewards and benefits package including:
- Generous annual leave entitlement
- Training and Development opportunities
- Pension Scheme with generous employer contribution
- Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of Eyesight testing
- Free parking
The post is based in Egham, Surrey where the University is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London.
For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk
Please quote the reference: 0826-280
Closing Date: 23:59, 1 September 2026
Interview Date: To be confirmed
Research Environment Data Analyst in Egham employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Research Environment Data Analyst in Egham
✨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 Allscreens Nationwide Ltd!
✨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 Research Environment Data Analyst at Allscreens Nationwide Ltd.
✨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 Allscreens Nationwide Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Research Environment Data Analyst at Allscreens Nationwide Ltd, 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 Research Environment Data Analyst in Egham
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 Allscreens Nationwide Ltd, 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 Allscreens Nationwide Ltd. 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 Allscreens Nationwide Ltd
✨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 Allscreens Nationwide Ltd!
✨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.
