Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

HR Data Analyst 1

AXA UK
Manchester
1 week ago
Create job alert

Company

Munich Re Specialty - Global Markets

Location

Manchester , United Kingdom

About us

As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.

Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation.

Sounds like you? Push boundaries with us and be part of Munich Re.

Please see our website for more information.

Global HR Data Analyst

Working in Global HR at Munich Re for Reinsurance & Specialty Group means being part of a dynamic, globally connected team that plays a critical role in shaping the future of our organization. As an HR professional, you contribute to the success of our business by supporting people strategies that drive transformation, foster collaboration, and enable sustainable growth.

Our Global HR function is evolving to meet the needs of a fast-changing world. We operate in a connected, collaborative, and forward-thinking Global HR matrix community that values empathy, initiative, and a global mindset—where every team member plays a role in delivering effective services and solutions and creating meaningful impact.

Whether your focus is talent, rewards, analytics, business partnering, services, or any other area of HR, you will work across regions and functions to co-create solutions that support our people and business. You will be empowered to collaborate, innovate, and grow—contributing to a culture that values diversity, continuous learning, and shared success.

Join us in building the future of Global HR.

The profile

We are looking for a highly analytical and passionate HR Data Analyst to join our Global HR Reporting and Analytics team. This role will be located in London / Manchester, in the Europe / Latin America (EULA) region . This role will be part of a global team of highly skilled HR reporting and analytics experts and will report into the Global Head of HR Reporting and Analytics (located in Munich, Germany). The role will work closely with the global Strategic HR Business Partner team, the HR functions(Talent, Rewards, DEI) and the regional EULA HR team.

This role offers a unique opportunity to partner with global and regional stakeholders to understand HR data requirements, deliver data insights and enable data-based decision making to support Munich Re’s strategic HR and business agenda.

  • You will participate in global projects and initiatives, support the provision of analytical answers to strategic questions and ensure the accurate and timely response to regular and ad hoc data requests from internal and external stakeholders.
  • You will play an integral role in bringing our HR analytics capabilities to the next level, driving the continuous improvement of our reporting capabilities and enhancing efficiency, accuracy, and strategic alignment.

Responsibilities:

Data stewardship and compliance

  • Develop, maintain and improve processes to monitor data accuracy, completeness and consistency
  • Ensure adherence to global data standards and governance on a regional level
  • Ensure accurate recording and alignment of data in the different regional HRIS systems and SuccessFactors as main global HR IT system
  • Ensure compliance with global and local laws and regulations, data access controls and data retention requirements
  • Implement globally aligned processes and governance around data privacy, security, and ethics

HR reporting

  • Produce and communicate relevant HR data insights, including…
  • … regular (management) reporting as well as ad hoc requests;
  • … building, testing, optimizing and running reports;
  • … designing, updating and extending HR dashboards;
  • … striving for continuous improvement
  • Support the data collection and data quality assurance for regulatory reporting purposes, including the Group HR (Sustainability) Reporting that collects data for Munich Re Group’s sustainability statement in the annual report
  • HR data strategy
  • Support the global alignment and standardization of HR reporting capabilities, including the transfer and amendment of regional reports and dashboards into global versions
  • Support the advancement of the automatization of HR data collection and reporting processes

Knowledge and Skills

  • Extensive years of professional experience, thereof 3+ years in a HR data function
  • Thorough understanding of HR data points and metrics and experience in transforming HR data into meaningful information
  • Experience in using HR IT systems (preferably SuccessFactors, iTrent) as well as data structuring and visualisation tools (preferably SAP Datasphere, SAP Analytics Cloud, Power BI) to build HR reports and dashboards
  • Experience with aligning, collecting, structuring and migrating HR data on a global scale
  • Strong technical expertise and analytical mindset
  • Experience in working in a complex global (matrix) organisation within a dynamic environment
  • Can-do attitude, team-player and ability to quickly respond to changing requirements
  • Ability to work independently and to manage competing priorities in a fast-paced environment
  • Excellent organizational skills and structured way of working
  • Excellent communication skills with the ability to convey complex data insights to different target audiences

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.

Learn more about sustainability at Munich Re–choose your impact!

#BePresent#BeBold#BeCurious


#J-18808-Ljbffr

Related Jobs

View all jobs

Executive Data Analyst

HR Data Analyst

HR Data Analyst

HR Data Analyst

HR Data Analyst

HR Data Analyst

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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.