HR Data Analyst - Business Objects, Excel & PowerBI

Reed Technology
Watford
1 year 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

HR Data AnalystAnnual Salary: Competitive Location: Watford, Hertfordshire Job Type: Full-timeA new exciting permanent opportunity has become available with a global leading construction company seeking an experienced HR Data Analyst to support the delivery and development of their HR Analytics strategy. This role is crucial in providing insights that support their Business & HR priorities and in driving data-driven decision-making across the organisation.Day-to-day of the role:Collaborate closely with the HR Digitalisation Manager to shape and deliver the HR Analytics Plan and roadmap.Engage with stakeholders (HRBP, Systems, Payroll, etc.) to identify key reporting and analysis requirements.Design and maintain Business Intelligence reports that provide insight on our people data by highlighting trends, identifying potential causes, and assessing the impact of interventions.Provide, maintain, and develop regular management reports, including monthly HR metrics, quarterly and annual reports on Diversity, Performance, Gender Pay Gap, L&D, Engagement Survey, etc.Maintain company data integrity through regular audits of the data held in HR Systems, monitoring and recording any data issues.Ensure our reports and processes safeguard all employee sensitive data in line with GDPR regulations.Support the Reward team on cyclical processes such as Annual Pay Review, Annual Bonus, Benefits, etc.Participate in cross-collaboration with other Analytics teams to improve ways of working and develop consistent processes.Provide support on ad-hoc processes and projects.Required Skills & Qualifications:Must have advanced knowledge of MS Office, particularly Excel and Power BI.Previous experience working with HR Analytics tools (Business Objects preferred).Strong analytical skills, attention to detail, and problem-solving capabilities.Experience of analysing large amounts of complex data.Ability to prioritise work to meet critical deadlines and manage conflicting priorities.High attention to detail, with strong verbal and written communication skills.Strong interpersonal and relationship-building skills.Experience of working within a team or project environment.Experience with Power Automate and SQL is beneficial.Benefits:Competitive salary and benefits package.Opportunities for professional development and growth within the company.Dynamic and supportive work environment.To apply for this Data Analyst position, please submit your CV to be immediately considered

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.