Human Resources System Analyst

Blackfriars
2 weeks ago
Create job alert

HR Systems Analyst

Location:  London

Location type: Hybrid

Who we are…

GlobalData is a specialist information services business on a mission to help our clients decode the future, make better decisions and reach more customers. Using our unique data, expert analysis and innovative solutions we deliver intelligence on the world’s largest industries for companies, government organisations and industry professionals. 

Why join GlobalData?

GlobalData is at a pivotal point in its growth journey. Following multiple acquisitions and having recently received transformational investment we need curious, ambitious, courageous people to support us in achieving our vision of becoming the world’s trusted source of strategic industry intelligence.

Our big ambitions mean that life at GlobalData is fast paced, entrepreneurial and rewarding. We recognise the collective power of our people, and it’s the collaboration of our teams that have shaped our success and will continue to do so in the future.

The role…

Reporting to the CPO, the HR Systems Analyst will play a key role in helping improve the efficiency and effectiveness of the HR function and our employees experience by managing our; core HR System and any 3rd party bolt-on’s or integrations, enhancing our people processes and evolving our approach to self-service. Therefore, helping guide and improve our Global HR processes, through automation. This role will be fantastic for someone who has a genuine enthusiasm for both HR and systems architecture and integrations.  

What you’ll be doing…

  • Supporting the implementation, configuration and rollout of any HRMS or 3rd party talent systems (including documentation, notifications, alerts and training resources) to meet the business needs  

  • Support the development and execution of a comprehensive automation strategy aligned with business objectives by identifying areas for automation whilst ensuring the user experience is optimal 

  • Addressing all HR System issues and develop actions plans to resolve those issues, liaising with key stakeholders  

  • Performing routine system upkeep for the HR Systems e.g, data integrity, data uploads, data cleanse and workflow design and performing periodic system setups  

    -Ensuring integrity of data held on the HRMS and to advise HR colleagues of actions needed to maintain data accuracy  

  • Helping to develop change management plans for all impacted audiences when introducing changing processes and practices  

  • Provide day to day support to all HR system users, including: training, developing training guides and facilitating sessions as required  

  • Partner with the data and analytics team to create and generate reports to support key business projects; provide meaningful insights and recommendations. Identifying new areas of the business that could benefit from further analysis and take a proactive approach to achieving tangible results for the HR team as well as the wider business  

  • Improving the effectiveness of current HR processes, recommending and implementing improvements to streamline current manual processes and practices  

  • Work with cross functional teams, including IT, HR Ops, data and analytics, HR CoE’s, to gather requirements and identify and implement solutions 

    What we’re looking for…

  • The ideal candidate would have in-depth knowledge of working on cloud based HRMS, Previous experience in implementing a new cloud-based HR System would be advantageous, also experience of integrating 3rd party systems to the main HRMS 

  • Strong analytical capabilities and a willingness and ability to quickly learn new tools, systems and software  

  • Strong systems thinking, design thinking  and process thinking skills Excellent IT skills particularly; Excel and PowerPoint   

  • Relentless attention to detail is essential  

  • Knowledge of standard HR metrics and key performance indicators  

  • Experience in using data to generate insight and management information 

  • Strong stakeholder management skills to work effectively across the Group and with suppliers at different levels 

  • Ability to demonstrate a professional, confident and 'can do' attitude  

  • Excellent organisation and time management skills  

  • Excellent communication skills (verbal and written)  

    In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about the roles and benefits on offer in your region, visit (url removed)

    GlobalData believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

    #LI-HYBRID #LI-SR1

Related Jobs

View all jobs

HRIS Advisor

Power BI Developer

Senior Compensation & Benefits Specialist

Senior HR Business Partner

Engineering Logistics Portal Engineer

Head of Sales (EMEA)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.