Data Analyst

We are seeking a talented individual to join our team at Marsh. This role will be based in a hybrid model, with a requirement of working at least three days a week in the office.

This position focuses on data analysis and process automation to support business decision-making. The role involves extracting, cleaning, and transforming information using SQL and ETL processes, as well as developing automation solutions with Python, R, and Microsoft Power Platform tools such as Power Apps, Power Automate, Power BI, and SharePoint. It also requires collaboration with multidisciplinary teams and business users, communicating findings in advanced English, and supporting continuous improvement initiatives.

We Will Count On You To

Extract, clean, and transform data using SQL and ETL processes
Analyze and visualize information to support business decisions
Develop and maintain automation solutions using Python, R, and Power Platform
Collaborate with multidisciplinary teams and business users
Communicate findings and support continuous improvement initiatives





What You Need To Have

Degree in Computer Systems Engineering or Mobile Application Development
2+ years of experience
Experience with Python, R, or another programming language
Experience with SQL and database management
Knowledge of process automation and continuous improvement
Advanced English

What Makes You Stand Out

Experience with Microsoft Power Platform tools: Power Apps, Power Automate, Power BI, and SharePoint
Experience in data analysis and visualization
Ability to work with multidisciplinary teams and business users
Analytical thinking and creativity

Why Join Our Team

We help you be your best through professional development opportunities, interesting work, and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients, and communities.
Our scale enables us to provide a range of

📌 Analista de Riesgo (Colombia)
🏢 Marsh Risk
📍 Colombia