At a Glance
- Tasks: Develop and maintain student management systems while integrating with various platforms.
- Company: Join a supportive university team focused on enhancing student experiences.
- Benefits: Enjoy flexible working, generous leave, training opportunities, and discounts.
- Other info: Inclusive environment with strong commitment to diversity and career growth.
- Why this job: Make a real impact on student services and gain valuable tech skills.
- Qualifications: Analytical mindset and eagerness to learn web development technologies.
The predicted salary is between 41064 - 48822 £ per year.
Information Services Location: Brighton – Moulsecoomb
Salary: £41,064 to £48,822 per annum
Closing Date: Wednesday 01 July 2026
Reference: IS5016-26-148
Overview
Our Student Systems team develops, integrates and supports the University’s core student management systems, which handle everything from applications and enrolments to fees, results, placements, wellbeing and awards. We’re now looking for someone to help us make the very best use of these systems. Our primary development platform is SITS e:Vision, a proprietary toolkit used to build self‑service functions for students and applicants, as well as tools for staff to maintain student records. Full training will be provided – what you’ll bring is an analytical mindset, an aptitude for web development and a willingness to learn. Student data underpins almost every university process, and we support integrations with finance, accommodation, timetabling, UCAS, our VLE and identity management systems. You’ll work across a mix of on‑premise and cloud‑hosted services, applying your SQL, PL/SQL, web services and scripting experience to maintain and enhance them.
Responsibilities
- Develop and maintain student management systems and related web services.
- Integrate core systems with finance, accommodation, timetabling, UCAS, VLE and identity management platforms.
- Apply SQL, PL/SQL, web services and scripting to support and enhance services.
- Play a key role in system support including upgrades, patching, third‑line investigation, debugging and vendor liaison.
- Provide strong customer service, clear communication and confident data analysis.
Qualifications
- Analytical mindset and aptitude for web development.
- Willingness to learn SITS e:Vision and related technologies.
Benefits
Full‑time (37.0 hours per week), permanent post with opportunities for flexible working and job sharing. Generous leave, training and development, on‑site fitness facilities and a range of travel and shopping discounts.
Equality and Diversity
The University is committed to creating and maintaining an inclusive environment for all staff regardless of age, disability, family or caring responsibilities, gender identity, marital status, pregnancy or maternity, race, religion or belief (including non‑belief), sex and sexual orientation. We embrace equality and diversity in our working, learning, research and teaching environment and are committed to maintaining a supportive and inclusive community. We particularly encourage applicants from Minority Ethnic backgrounds because the University is under‑represented by Minority Ethnic staff. For the vast majority of our roles we operate an agile working system, with time split between working on campus and at the employee's home. It is the University's expectation that home working will take place within the UK.
Analyst Developer - Internal Only in Brighton employer: University of Brighton
The University of Brighton is an exceptional employer, offering a supportive and inclusive work environment that prioritises employee growth and development. With flexible working options, generous leave, and access to on-site fitness facilities, employees can enjoy a healthy work-life balance while contributing to meaningful projects that enhance student experiences. The commitment to equality and diversity ensures that all staff feel valued and empowered, making it a rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst Developer - Internal Only in Brighton
✨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 Brighton!
✨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 Analyst Developer - Internal Only at University of Brighton.
✨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 Brighton.
✨Apply Directly through Our Website
When you find a suitable opening like Analyst Developer - Internal Only at University of Brighton, 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 Analyst Developer - Internal Only in Brighton
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 Brighton, 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 Brighton. 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 Brighton
✨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 Brighton!
✨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.
