HR Data Analyst

Ryder Reid Legal
London
8 months ago
Applications closed

Related Jobs

View all jobs

Temporary HR & Reward Data Analyst

Data Analyst (Software Systems Test)

Finance Data Analyst

2 x Data Analyst - Local Authority

Data Analyst (2 Posts) - GLA14847

Data Analyst Graduate

Job Title:HR Data Analyst

Location:City of London

Role: Full-time permanent role

Working Arrangement:Hybrid Working (50% in the office)

Salary:£45,000-£65,000 per annum

Requirements:Law firm Experience desired but not essential


The firm

Our client is a leading international law and professional services firm providing legal, corporate and fiduciary services to global corporations, financial institution, capital market participants and investment fund managers.


The role

In this role, you will be working as part of a dynamic team that implemented the rollout of the firm’s Global HR system. As an HR Data Analyst, you will be supporting the HR strategy by developing analysis to encourage data-driven decision-making. You will be analysing and interpreting HR data to identify trends, patterns, and opportunities for improving HR processes and initiatives. Your key responsibilities will include:

  • Collecting and analysing HR data to ensure accuracy, consistency, and data integrity.
  • Use data analysis techniques to identify trends, patterns, correlations, and insights related to HR metrics and key performance indicators.
  • Developing and maintaining HR dashboards, reports, and visualisations to effectively communicate HR data and insights to stakeholders.
  • Providing HR data-driven insights and recommendations to support strategic decision-making and drive HR initiatives.
  • Monitoring HR data to identify data anomalies, outliers, and data quality issues, and take corrective actions as necessary.


What do you need?

In order to be successful in this role you will need:

  • Excellent written and verbal communication skills with the ability to communicate at all levels.
  • Relevant experience of HR Data Analysis and HR processes.
  • SAP SuccessFactors experience is essential.
  • Proficiency in using data analysis tools such as Excel, Business Objects, Power BI, or similar platforms to create dashboards and reports.
  • Excellent attention to detail and accuracy in handling and analysing HR data.



What do you get in return?

In return, you will receive a very competitive salary with excellent benefits and the opportunity to work at a growing prestigious law firm.


Application Process:For further information and to apply, please submit your resume. Due to the high volume of applications, we are unable to respond to all inquiries. If you have not received a response within 72 hours, please assume you have not been shortlisted.

We look forward to receiving your application!



Ryder Reid Legal is a recruitment specialist, for almost thirty years we've been connecting legal talent with many of the leading law firms in London and internationally. Follow our LinkedIn page for our latest vacancies.https://uk.linkedin.com/company/ryder-reid-legal

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.