Senior Data Analyst - P&O

About MVH Europe

Mars Veterinary Health (MVH) Europe is a family of leading veterinary care providers committed to creating a better world for pets. Our network includes trusted brands such as Ani Cura and Linnaeus, operating over 500 animal hospitals and clinics across 17 European countries. Together, our teams deliver high-quality, modern veterinary care for companion animals, ensuring peace of mind for pet owners through excellent access and patient safety.

At MVH Europe, we prioritise a culture of accountability, inclusion and wellbeing. We believe our purpose — to make A BETTER WORLD FOR PETS — starts with building a better world for our people. We support our teams through strong governance, comprehensive wellbeing programmes, and a shared passion for delivering exceptional outcomes in veterinary care.

The Senior P&O Data Analyst plays a critical role within the MVH Europe Data & Analytics function, designing and delivering high‑quality analytics, data models and visualisations that turn complex People & Organisation data into clear, actionable insights. This role exists to support data‑driven decision‑making across the business, enabling leaders to make informed strategic and operational workforce decisions.

Working closely with P&O leadership and a broad range of stakeholders, the Senior P&O Data Analyst acts as both a technical expert and a trusted partner, shaping analytical solutions that directly support business goals. The role also provides leadership and mentoring to more junior analysts, ensuring delivery in line with best practice and contributing to the continuous development of the Data & Analytics capability.

This role sits within MVH Europe and is preferably based in Amsterdam, although candidates based in the UK will be considered.

• Job Title:
  
  Senior P&O Data Analyst
• Department:
  Data & Analytics
• Business Unit: MVH Europe
• Location:
  
  Netherlands (preference for Amsterdam), UK may be considered
• Contract:
  
  Full‑time
• Languages:
  
  Fluent English required

• Analytic Leadership:
  Take ownership for delivering end‑to‑end data products and analysis to answer business questions and solve business problems.
• Collaborate and Influence:
  Work with stakeholders to understand business questions and shape solutions to address their needs.
• Data Modelling:
  Explore, clean, and transform complex data sets of varying quality into well‑structured tables for analysis.
• Data Analysis:
  Analyze complex data sets and unveil insights that will propel our business forward.
• Visual Storytelling:
  Develop and maintain compelling data visualizations and dashboards that effectively communicate the story behind the numbers, influencing key stakeholder decisions.
• Champion Data Quality:
  Ensure data accuracy and consistency and identify opportunities for improvement.
• Issue Resolution:
  Proactively and reactively troubleshoot and resolve issues related to data and dashboards.
• Delivery Management:
  Work in line with agreed D&A processes to ensure own projects are managed effectively.
• Quality Assurance:
  Review own work to ensure it meets scope and quality standards; conduct peer reviews to assure the work of others and provide QA sign‑off for team deliverables.
• Continuous Learning:
  Stay updated on the latest trends and technologies in data analytics and data science, contributing fresh perspectives and innovative solutions.
• Develop People:
  Line manage and coach more junior members of the team, supporting their technical and leadership skill development.
• Team Development:
  Contribute to improving processes and ways of working for the benefit of the whole team.
• Technical Leadership:
  Serve as the technical leader within the team for specific areas of capability, contributing to strategy development and implementation. AND/OR
• Domain Leadership:
  Serve as the data domain lead for People & Organisation domain – provide leadership to stakeholders on the use of data for decision‑making, shape the domain roadmap for data and analytics,

• Bachelor’s degree in Data Science, Statistics, Computer Science or a related field (or equivalent practical experience)

• Extensiv…