National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

HR Analytics Manager

Quest Search and Selection
Dunstable
5 months ago
Applications closed

Related Jobs

View all jobs

Marketing Manager

HR Systems and Data Manager

Payroll, Benefits and HRIS Operations Manager

People Systems and MI Manager

Head of Learning and Development

Head of Learning and Development

Quest Search & Selection are currently partnering with a global supplier and retailer with a global client base and head offices within US, UK & Far-East. This B2B operation focus on souvenir & general merchandise and offer the complete end-to-end solution for all customised requirements.

As aHR Analytics Manageryou will play a key part to oversee and optimise the entire employee lifecycle with a main focus of HR system, metrics and dashboards.


The roles & responsibilities of this HR Analytics Manager role -

  • Oversee and optimise the entire employee lifecycle
  • Analyse HR data and metrics to tell a story to inform decision-making and improve performance within teams (short, medium and long-term planning).
  • That you have a particular focus on employee onboarding
  • Manage and enhance HR systems, including Wrike & HiBob,
  • To look at strategic projects about automating manual HR processes to improve efficiency and accuracy
  • Develop and implement strategies to boost employee satisfaction and retention
  • Though a stand-alone role you will work with the global HR team with the VP of HR.
  • That you will deal with top-line ER and HR contract matters within the UK head office (currently circa 70 staff members)
  • Collaborate with SLT and other stakeholders to align people operations with company goals

To be successful in this HR Analytics Manager –

  • 3-6 years of experience in people operations or HR roles, ideally in a fast-paced, global environment
  • You maybe working as an Analyst, HR Ops, Data or People processing role
  • Expertise in HR systems, particularly Wrike, HiBob (though other HRIS will of course be considered)
  • They you operate or have experience in an Operational, analytical, MI reporting People role
  • The you have strong Microsoft Office skillset
  • Exceptional communication and interpersonal abilities to work in a global teams & story tell your data and analytical findings
  • Self-motivating & proactive - you are in a stand-alone role where your Line Manager is based globally
  • Process focused with strong analytical & logical skillset with the ability to use people analytics to direct strategy.
  • Excellent project management and process improvement skills
  • Comprehensive knowledge of UK employment laws and HR best practices


The Benefits of this HR Analytics Manager –

  • Salary between £40,000 - £55,000
  • 25 days holiday
  • Free Car Park
  • Flexible working
  • Hybrid working (3 days in the office)
  • Pension


If this roles sounds like you and you have the required experience, please send your cv today!

National AI Awards 2025

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 to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.