Company:
Marsh

Description:

We are looking for a versatile, well-rounded analytics professional to join our General Sales and Client Insights & Analytics team — a global group, with members based across multiple geographies combining commercial context with advanced analytics to identify growth opportunities, strengthen retention, unlock whitespace, and elevate client experience. You'll work across the full range of analytics, from reporting and automation to machine learning and LLM-based solutions, a role for someone who enjoys variety and wants their work to drive real decisions.

What can you expect?
- A broad, varied remit across business intelligence, advanced analytics, and a growing pipeline of AI/LLM projects.
- The chance to combine traditional analytics with modelling and LLM techniques to solve real business problems.
- Close collaboration with commercial leaders, finance, marketing, and tech.
- Working in a global, multi-cultural team, with the autonomy to shape how analytics is delivered.

We will count on you to:




- Partner closely with stakeholders across the business to align analyses with business objectives.
- Deliver a wide range of analytics, from high-level reporting and automation to forecasting, machine learning, and LLM-based solutions.
- Turn data into clear, compelling insight that non-technical and executive audiences can act on.
- Communicate insights clearly and concisely to senior leadership, both verbally and in writing.
- Manage multiple projects under tight deadlines, demonstrating effective prioritization and time management.
- Learn our key data sources and get up to speed quickly on new systems.

What you need to have:
- Bachelor’s degree in Engineering, Mathematics, Analytics, or a related field, or a Master's degree in Statistics, Business Analytics, or any related discipline.
- 3 to 6 years of experience across both business intelligence and data science / modelling.
- Strong SQL and Python, with hands-on experience building a

📌 Business Analysis, Data Science (Madrid)
🏢 Marsh Mclennan
📍 Madrid