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

Apply Now

HR Data Analyst (12 Month FTC)

Yeovil Marsh
1 year ago
Applications closed

Related Jobs

View all jobs

HR Data Analyst

HR Data Analyst

HR Reporting Data Analyst

HR Reporting Data Analyst

HR Reporting Data Analyst

HR Reporting Data Analyst

HR Data Analyst - 12 Month FTC

Are you ready to make a significant impact in one of the UK's most well-known companies? We are looking for an HR Data Analyst on a 12-month fixed-term contract to join a dynamic team, dedicated to turning data into actionable insights that drive their people strategy forward. In this role, you'll collaborate closely with HR leaders to develop dashboards, analyse trends, and shape the future of their people data function.

Responsibilities Include:

  • Leading the people data strategy, proactively utilising data to enhance analytics capabilities and influence decision-making.
  • Acting as the primary contact for people data, providing regular reports and analytics that guide HR teams in understanding and supporting their teams effectively.
  • Collaborating with the Insight Manager and Insight Analyst to identify key themes, gaps, and opportunities in colleague data and feedback.
  • Building strong relationships with HR stakeholders, understanding their data needs, and empowering them to leverage data in strategic decisions.
  • Developing dashboards in Power BI, Excel, and SAP HR, with a focus on future strategies, including the integration of predictive analytics.
  • Managing and interpreting sensitive information while ensuring compliance with GDPR regulations.

    What You'll Need to Succeed:
  • Strong analytical skills with experience in handling large datasets.
  • Proficiency in Excel (including macros, V lookups, Pivot tables, VBA, Power Pivot, and Power Query) and Power BI.
  • Experience using SAP HR and a solid understanding of data visualisation best practices.
  • Previous experience with HR or People data is a real bonus, helping you understand the nuances of analysing workforce insights.
  • Excellent communication and relationship-building skills, with a knack for translating data into clear, actionable insights for senior leaders.
  • A proactive approach to problem-solving and a passion for evolving the use of AI tools in data analysis.

    What's in It for You:
  • A salary of up to £45,000, plus an extensive range of benefits.
  • A 12-month fixed-term contract with the opportunity to make a meaningful impact on the organisation's data strategy.
  • Flexible hybrid working with the option to split your time between their head office and remote work.
  • A comprehensive benefits package designed to support your well-being and work-life balance, including career growth opportunities and discounts at major retailers.

    Next Steps:
    Ready to take your career to the next level on this 12-month fixed-term contract? If you're passionate about turning people data into impactful strategies and want to join a supportive, growth-focused team, we'd love to hear from you! Send your CV to Adam to explore this exciting opportunity.

    Artis Recruitment provide specialist recruitment services within HR, Finance, IT, Procurement, Marketing, Customer Contact and Executive Search. By applying to this position, you acknowledge that you have read and accept our Privacy Policy: (url removed) src="(url removed)

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.

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.

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.

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.