HRIS Administrator and Data Analyst

Westminster Abbey
1 month ago
Applications closed

Related Jobs

View all jobs

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HRIS Administrator and Data Analyst

Central London, Westminster

£21,000 – £24,000 actual salary (FTE £35,000 – £40,000)

Part‑time, permanent (21 hours per week, fully office-based)

Westminster School is one of the world’s leading academic institutions, committed to providing an exceptional education within a supportive and inspiring environment. We are now seeking a talented HRIS Administrator and Data Analyst to join our People, Payroll, Pensions and Benefits team and play a key role in the continued development of our newly implemented iTrent system.

This is an exciting opportunity to shape the next stage of our HRIS journey. Working closely with colleagues across HR, Payroll, IT and Finance, you will ensure our people systems run smoothly, support operational efficiency, and provide high-quality workforce data to inform strategic decision-making.

We offer genuine flexibility in how the part‑time hours are worked — the 21 hours per week can be arranged across 3, 4 or 5 days, depending on the successful candidate’s preference. The role is fully office-based.

Key Responsibilities

Oversee the day‑to‑day running of iTrent to ensure HR and Payroll processes operate smoothly and effectively
Lead on the development, configuration and ongoing implementation of iTrent and its functions, including Employee Self-Service
Act as first‑line support for system issues, working with colleagues and escalating where required
Manage system upgrades, technical configurations and improvements to streamline processes
Maintain data accuracy, compliance and security through regular audits and cleansing
Develop and run regular workforce reports, using Power BI to extract and present data
Provide performance data to support strategic planning and decision‑making across the school
Liaise with IT, Finance and other departments on system integrations and module rollouts
Support the production of compliance and workforce reports, including the Single Central Record (SCR)
Provide guidance and informal training to staff and managers on iTrent functionality
Participate in external HRIS networks to share knowledge and troubleshoot issues
What you’ll need to succeed

Experience working in HR, or as an HRIS Systems Administrator
Proven technical knowledge and hands‑on experience with HRIS platforms
Strong IT skills, including Power BI and Microsoft Excel
Experience extracting, analysing and presenting data
Excellent problem‑solving skills, accuracy and attention to detail
Strong communication skills and the ability to build effective working relationships
Understanding of confidentiality, data protection and safeguarding
Commitment to the values and standards of Westminster School

What you’ll get in return

Westminster School is a busy, purposeful and vibrant place to work, offering a supportive environment and excellent benefits, including:

Actual salary of £21,000 – £24,000 (FTE £35,000 – £40,000), depending on experience
Generous School pension scheme
Private medical insurance (opt‑in)
Free School lunch and drinks facility onsite (during term time)
25 days’ annual leave plus bank holidays (pro‑rated), and a discretionary Christmas closure
Free access to the school’s gym (restricted hours)
Cycle to Work scheme and season ticket loans (post‑probation)
A collaborative and forward‑thinking People, Pensions and Payroll Team

If you are an experienced HRIS/I-trent professional who enjoys improving systems, solving problems and delivering high‑quality data insights, and you want to contribute to the smooth running of a world‑class educational institution - we would be delighted to hear from you.

Equal Opportunities 

We are an equal opportunities employer. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex or sexual orientation. 

Safeguarding and Child Protection 

Westminster School is committed to safeguarding and promoting the welfare of children. Applicants must be willing to undergo child protection screening appropriate to the post, including checks with past employers and the Disclosure and Barring Service

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.