Integration Analyst/Developer

Bevendean
4 weeks ago
Create job alert

Integration Analyst/Developer

  • Location: Brighton - Moulsecoomb
  • Salary: £40,497 to £48,149 per annum
  • Closing Date: Sunday 04 May 2025
    This is an exciting opportunity to join our friendly and growing Identity and Access team, and to help construct and manage our next generation Identity and Access Management platform.
    You will liaise with technical specialists within Information Services and other departments to continue to improve the data interfaces between systems to ensure the confidentiality, integrity, and availability of university systems and data. You will advise and offer guidance on technical and process issues, and will be actively involved in the specification, design, and implementation of new services.
    You, as Data Analyst, will keep up to date with developments in best practice, standards, and technologies within the sector and beyond. You will provide day-to-day support for existing services.
    We are looking for a confident and thoughtful coder who has experience with PowerShell and/or Python, and who thrives in an environment where they can share and collaborate.
    The successful Data Analyst candidate will have:
  • Extensive experience of coding in Python, PowerShell, or JavaScript.
  • Demonstrable experience of analysing, developing, documenting, testing, supporting, and maintaining IT services, integrations, and processes
  • The ability to work collaboratively within a team
  • The ability to write clear, detailed, and engaging documents, diagrams, reports, and presentations in a timely manner – collating, analysing, and summarising complex data.
    This Data Analyst role is available on a job share arrangement. In return, the University offers a number of benefits, such as a generous annual leave package, including time off over the Christmas period, as well as a generous pension scheme, travel loan and childcare voucher schemes.
    In addition, to the eight Bank Holidays, there are university discretionary days between Christmas and New Year. All leave, including bank holidays and discretionary days.
    Further details:
    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.
    Further information about working for us, as well as the wide range of benefits we offer, can be found in the working with us section of our vacancies page.
    Data Analyst

Related Jobs

View all jobs

Junior Architect - Power Platform / Data Governance / Stoke

Quantitative Trading Analyst

Head of Development - Fintech SaaS. Full Remote

Head of Development - Fintech SaaS. Full Remote

Head of Development - Fintech SaaS. Full Remote

Lead Data Developer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.