HR and Payroll Data Analyst

Gleeson Recruitment Group
High Wycombe
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

HRIS Administrator and Data Analyst

Payroll Data Analyst

Data Analyst - 6 month FTC Initially

Senior Consultant_ Data Analyst_ UK

Senior Consultant_ Data Analyst

HR and Payroll Data and Management Information Analyst

3 months initially - £15-£20ph + holiday pay

Location: High Wycombe

Start date: Early January 2026

Hybrid pattern - 3 days in the office, 2 days working from home

Our client is seeking a talented HR/Payroll Data & Management Information Analyst to join an established team, initially for 3 months in High Wycombe. There will be opportunities to be considered for permanent opportunities within the tea, subject to performance and sign off.

Your recent and previous experience will certainly cover a very similar breadth of duties, and you will offer recent UK experience of working ideally in a similar multi-site, corporate business.

Your duties as the HR and Payroll Data and MI Analyst will be varied and interesting and will report into the Reward Manager and the Payroll Manager, and you will be responsible for HR Reporting, MI & Insights. You will be responsible for supporting the creation, design and testing to ensure that managers, leaders and the various HR and Payroll teams including Employee Service Centre, HRBP's and Centres of Excellence have direct access to the data, reports and dashboards they need, providing useful insights to enable effective decision making.

  • You will ensure the quality of the people data and the continuous development of our people reporting and analytics to ensure that relevant management information, insights and trends are identified and available to key stakeholders, including HR/Payroll and business unit leaders.

    Key responsibilities for this role include:

    Developing core people analytics dashboards and reports, analysing data and reporting key trends/anomalies/points of interest to key stakeholders.
    Cultivate strong relationships with various teams, and key business stakeholders that enable the successful development and delivery of people reports, dashboards and analytics, ensuring a good understanding of their strategic objectives
    Providing data insights into people metrics to help forecasting, business planning and the development of forward-thinking people strategies
    Assisting with the ongoing development of system reporting
    Supporting the change governance process for managing BAU change requests to HR data and MI
    Taking full ownership for the quality of the people data, understanding and reconciling gaps, overlaps, and apparent contradictions among and within reports and reporting tools and ensuring documentation is maintained detailing reporting processes
    Responsible for ensuring that HR reporting, dashboards and analytics are delivered providing useful insights to the business and HR team.Essential Criteria:

    Experience in HR Reporting and MI function and strategy would be highly desirable
    Experience developing reports and dashboards within an HR platform providing useful insights
    Data integrity and quality management
    Experience of using BI software and ideally querying databases or a data warehouse
    Experience of the Ceridian Dayforce system would be desirablePlease do get in touch for further details on this superb newly created role in High Wycombe.

    At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

    By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

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.

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.