This team is part of the Foundational Data function, where you will transform complex data and market information into clear, reliable, and actionable insights for clients worldwide. You will work with diverse data sources, support research and validation activities, and help create the strong data foundations needed for high-quality client solutions. You will join a collaborative, international team focused on learning, problem-solving and building scalable data capabilities. The level of responsibility will depend on experience, with earlier-level analysts receiving more guidance and more experienced analysts taking greater ownership of complex workstreams, methodology and process improvement.

Core Requirements (apply to all levels):

· Extract, clean, organise, and analyse structured and unstructured data using Excel, SQL, and other relevant data tools.

· Use Python or R, where applicable, for data analysis, automation, validation, and repeatable reporting workflows.

· Work with large and complex datasets, including web-scraped, digital behavioural, website, database,



and third-party source data.

· Effectively enrich, validate, and contextualise datasets for client and internal deliverables against available and trusted sources.

· Apply rigorous data quality, validation, and governance standards to ensure accuracy, consistency, and transparency of outputs.

· Create clear dashboards, visualisations, reports, and presentations using appropriate analytics and business intelligence tools.

· Interpret complex analytical findings and translate them into actionable insights for technical and non-technical audiences.

· Support data preparation, transformation, and governance activities aligned with project methods, frameworks, and delivery standards.

· Maintain organised project files, document assumptions and methodology, and use version control or structured documentation practices where required.

· Collaborate with general analyst, data, research, and client-

📌 Associate Data Analyst (Ciudad de México)
🏢 Euromonitor
📍 Ciudad de México