Data Analyst

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

Strong analytical and problem-solving skills with the ability to derive actionable business insights from data. Ability to communicate complex analytical findings to both technical and non-technical audiences.

Requirements

• 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 global analyst, data, research, and client-facing teams to deliver high-quality output on time.
• Continuously build capability in data analytics, automation, visualisation, and emerging data science techniques as the role evolves.
• Leverage AI-powered tools and automation techniques to bring efficiency in all the above workflows.

Tagged as: Data Analysis