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

Nominate & Attend

HR Data Analyst

Munich Re Specialty - Global Markets
Manchester
1 month ago
Create job alert

About us

At Munich Re Specialty – Global Markets (MRS-GM), it is our ambition to become the leading Primary Specialty Insurance provider, underpinned by an effective and adaptable strategy, superior products and industry leaders working in a supportive environment to achieve this.

At the heart of our success is a strong culture where people are encouraged to be present, bold and curious, allowing them to achieve their individual goals.

HR Data Analyst

We are seeking a highly analytical and detail-oriented HR Data Analyst to play a pivotal role in developing the HR Data Strategy and integrating data analytics into the wider HR strategy, across the Europe & Latin America region. This role offers a unique opportunity to partner with local, regional and global stakeholders to understand HR data requirements and deliver complex management information to support good business outcomes.

The primary focus of the HR Data Analyst will be to support local, global and group reporting requirements to ensure accurate and timely submission of insightful HR metrics. To support this, the HR Data Analyst will work with local and regional teams to develop reporting capabilities within the local, regional and global HR systems, create complex dashboards/reports, produce monthly/quarterly/annual management information and respond to adhoc data requests as required.

To enable the accurate reporting of data, the HR Data Analyst will oversee the regional HR data collection processes and ensure accurate recording of data into the local and global HR systems, ensuring the continuous development and embedding of well-defined processes and procedures in relation to core HR activities (headcount, attrition, DEI, absence, recruitment etc).

The successful candidate will have a strong analytical mindset, a thorough understanding of HR systems and processes, and the ability to oversee processes while managing competing priorities in a fast-paced environment. This role offers a unique opportunity to make a significant impact on the organization by integrating data insights with operational oversight to drive efficiency, accuracy, and strategic alignment.

Responsibilities:

HR Data Analytics (50%)

Local Data Reporting: Identifying local & regional stakeholder data requirements, and producing appropriate data outputs to meet the needs of the business. This will include but is not limited to a Data Dashboard, creation of quarterly and annual board/ExCo reports, and managing adhoc data requests. Serve as the point of contact for all local and regional HR data requests. Work with the EULA HR Services team and other stakeholders to develop reporting capabilities, as required.

Regional/Global/Group Reporting: Collaborating with colleagues at the regional, global and group level to support wider data reporting requirements, including but not limited to the ECON Report and Sustainability Report. Serve as the point of contact for all global, regional and group data requests.

Developing HR Data Strategy: Working with the global Reporting & Analytics team to develop a clear Data Strategy, and support the provision of insightful HR metrics. Drive continuous improvement in reporting processes to enhance efficiency and accuracy. Utilisation of new technology, including but not limited to PowerBI to continuously improve the ability to manipulate and present management information.

Adhoc Data Requests: Act as main point of contact in relation to adhoc HR data reporting requests, ensuring that accurate data is provided in a timely manner, as required and in accordance with GDPR requirements.

2. Oversight of data accuracy (50%)

Data Management: Develop and maintain clear processes and procedures to ensure appropriate data collection methodologies, and owning the accurate recording of data in both the local and global HR systems.

Take responsibility for the accurate collection and recording of data relating to Joiner, Mover & Leaver (“JML”) activity and ensure that the HRIS system is kept up to date. Provide updates and/or escalate to the Head of HR Services.

Work with the EULA HR Services team to ensure that data is accurately aligned between both the SuccessFactors and other HRIS systems; ensuring that reporting capabilities exist to ensure alignment, and that regular checks are implemented to maintain accuracy.

Continuously improve data collection and system maintenance processes, keeping up with changes in regulatory/legislative requirements, as well as technological changes within Munich Re and ensuring compliance with data protection policies regionally.

Knowledge and Skills

5+ years of working in data to transform into actionable information for business decisions Sufficient (3+ years) experience using HR systems, including but not limited to ResourceLink, iTrent and SuccessFactors. Understanding of best in class HR metrics Technical expertise and business knowledge to enable delivery of key responsibilities Superior analytical skills, and experience working with large and complex data sets Superior agility – in order to work in a fast past and dynamic HR team Excellent people skills, including stakeholder management and networking Excellent communication (written, verbal, and presentation), with the ability to effectively convey complex management information to Executive and Board level stakeholders. Excellent organizational skills If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!

Diversity, Equity & Inclusion

At Munich Re, Diversity, Equity, and Inclusion foster innovation and resilience and enable us to act braver and better. Embracing the power of DEI is at the core of who we are. We recognise diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.

All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.

Learning and innovating today, striving for sustainable societies and business tomorrow

At Munich Re Specialty – Global Markets our approach to ESG is underpinned by our desire to seize business opportunities and to nurture a stimulating and inclusive work environment. Our ESG strategy aims to deliver holistic impacts across environmental, social and governance topics including supporting a number of local initiatives within our community and offering volunteering opportunities for colleagues.

– choose your impact! 

#BePresent#BeBold#BeCurious

About Munich Re Follow Us

Related Jobs

View all jobs

HR Data Analyst

HR Data Analyst...

HR Data Analyst

HR Data Analyst

HR Data Analyst

HR Data Analyst

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 Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning 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 type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning 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 developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning 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 ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.