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

Apply Now

Data Analyst / HR Reporting Advisor

Maudlin
1 day 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

HR Data Analyst

People Data Analyst

HR reporting and Data Analyst

Data Analyst

Data Analyst (Software Systems Test)

Analytical Data Engineer

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.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.