Data Analyst

• Transform complex data and market information into clear, reliable, and actionable insights for clients worldwide.
• Work with diverse data sources and support research and validation activities.
• Extract, clean, organise, and analyse structured and unstructured data using Excel, SQL, and other relevant data tools.
• Use Python or R 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.
• Enrich, validate, and contextualise datasets for client and internal deliverables.
• Apply data quality, validation, and governance standards.
• Create dashboards, visualisations, reports, and presentations using analytics and business intelligence tools.
• Interpret analytical findings and translate them into actionable insights for technical and non-technical audiences.
• Support data preparation, transformation, and governance activities.
• Maintain organised project files, document assumptions and methodology, and use version control or structured documentation practices.
• Collaborate with global analyst, data, research, and client-facing teams to deliver high-quality output on time.
• Build capability in data analytics, automation, visualisation, and emerging data science techniques.
• Leverage AI-powered tools and automation techniques to improve workflows.

Explore Data Analyst at Euromonitor International. Review requirements and application details.