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

Apply Now

HR Analytics Manager

Quest Search and Selection
Dunstable
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager, Data Analytics & Visualization

Data Architect

Data Analytics Engineer (reference: SCC/TP/410103/3880)

Data Analytics Engineer

Manager, Marketing Mix Modelling (MMM) & Data Science - 12 Month FTC

Claims / Underwriting Data Analyst.

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!

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.

Jobs

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.