Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst / HR Reporting Advisor

Maudlin
3 weeks ago
Create job alert

Data Analyst / HR Reporting Advisor

An opportunity is now available for a Data Analyst, based in the HR function, for a prestige automotive manufacturer.

The role is critical for delivering key aspects of the HR framework aligned to the strategic objectives of the business. This role develops and delivers HR metrics, processes, and information to support the wider HR functions of operations, training, and recruitment. The position takes responsibility for HR reporting and analytics, supports HR business change projects, and acts as a trusted business partner for department restructuring and job grading.

Responsibilities & Function

HR master data maintenance and reporting on working structures and overall headcount.
Development and implementation of HR data reporting & analytics with multiple HR & IT stakeholders.
Supporting delivery of the annual pay & bonus review process.
Assessment of working structures and job grading.
Identifying and delivering positive improvements to the scope of the role as part of the business Continuous Improvement Programme.
Supporting business change projects aligned to the business and HR strategies, relating to reward, culture, leadership development and recognition.
Supporting quality management and process development of the complete HR department.
Supporting the HR department with the purchasing process and administration.Skills & Experience

Proven experience in a reporting function, ideally including working alongside management and cross functional business partners with a focus on data integrity.
SAP HR user experience is essential.
Advanced MS Office capability is also required, particularly with MS Excel (Pivot Tables, Macros and VBA coding) and MS PowerPoint.
Ability to create and manage SharePoint pages and workflows.
Good understanding of other data reporting software including Power BI would be advantageous.
An awareness of project management and deployment methodologies
Operational HR experience would be desirable, with understanding on a variety of HR methods and solutions to support business change and improve business performance.
Experience in web-based intranet modification would be advantageous Interested, please contact Graeme at Vibe Recruit on (phone number removed) or apply immediately!

Vibe Recruit is acting as an Employment Business in relation to this vacancy

Related Jobs

View all jobs

Senior HR Data Analyst

HR Data Analyst

People Data Analyst

Global HR Data Analyst (Manchester)

HR reporting and Data Analyst

HR Reporting Data Analyst

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.