· 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.