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

Apply Now

People Data Analyst

QinetiQ Limited
Farnborough
2 days ago
Create job alert
Overview

Select how often (in days) to receive an alert:

Job Location: Farnborough

Job ID: 18798

Are you ready to be part of the future? At QinetiQ, we’re not just imagining tomorrow we are creating it. From cutting-edge defence technology to ground-breaking innovations our mission is to empower and protect lives. Join us as a People Data Analyst at our Farnborough site, where you will have the opportunity to work with cutting-edge technology in partnership with some of the most brilliant minds.

Role Purpose

This role supports the Head of Reward and Analytics to deliver a data analytics service to the QinetiQ People team and wider organisation. The role will develop analytics reports and insights on a regular and ad-hoc basis, supporting on-going business decision-making as well as projects to understand the interactions between our people, the company and how we operate. The role will also contribute to wider Reward team projects.

Key Accountabilities
  • Support the Head of Reward and Analytics in the delivery of People Data reporting requirements – including monthly/annual dashboards and KPI reports for the People teams in Sectors/Functions.
  • This will involve the development of new reports, training of other users in people data reporting tools, as well as producing monthly/quarterly annual dashboards and reports.
  • Provides accurate and meaningful analytics and insights for the people team and leaders across a broad spectrum of people activities on a regular and ad hoc basis.
  • Coordinates with members of other reporting teams across QinetiQ to ensure consistent use of key analytics tools supporting on data reporting projects.
  • Contributes on projects involving data integration between HR technology platforms and other internal/external systems.
  • Supports Reward team and wider People organisation on data integrity and data management projects.
Key Capabilities/Knowledge
  • In depth skills in data analysis, modelling and automation with knowledge of Power BI or exposure to Python, R, SQL
  • Advanced knowledge of MS Excel essential
  • A demonstrable ability to understand and interpret complex datasets, extracting key insights and ensuring data accuracy through an attention to detail
  • Business partnering and consultancy skills with exposure to working within a global business

Knowledge and experience of SAP SuccessFactors reporting tools

Experience & Qualifications
  • Analytics or reward expertise (2+ years)
  • Strong written and verbal communication skills
  • CIPD in analytics or numerically focussed degree
Why Join QinetiQ?

As we continue to grow into new markets around the world, there’s never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges.

As a QinetiQ employee, you’ll experience a unique working environment where teams from different backgrounds, disciplines and experiences enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you’ll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in a diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Visit our website to read more about our diverse and inclusive workplace culture. www.qinetiq.com/en/careers/life-at-qinetiq

  • Matched contribution pension scheme, with life assurance
  • Competitive holiday allowance, with the option to purchase additional days
  • Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance
  • Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more
  • We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme
  • Volunteering Opportunities - helping charities and local community
Our Recruitment Process

We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels valued, heard and supported. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your Recruiter about potential reasonable adjustments.

Many roles in QinetiQ are subject to national security vetting being completed, applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment. A number of roles are also subject to additional restrictions, which means factors such as nationality or previous nationalities may affect the roles that you can be employed in.

For further information on National Security Vetting, please see the link below.


#J-18808-Ljbffr

Related Jobs

View all jobs

People Data Analyst

People Data Analyst

People Data Analyst

People Data Analyst

People Data Analyst

People Data Analyst - FTC 12 months

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.