Data Analyst

Role overview

Role accountabilities

• Own day-to-day analysis and insight delivery, turning business questions into structured analytical outputs.
• Analyse large, multi-source datasets to identify trends, patterns, and performance drivers.
• Support execution of advanced analytical models, including regression, segmentation, and multivariate analysis.
• Prepare, clean, and validate modelling datasets and identify data quality issues or inconsistencies.
• Build and maintain dashboards and reporting outputs using Power BI, Looker, or similar tools.
• Work with insights, commercial, and product teams to understand analytical needs.

Qualifications and experience

• Experience in a data analyst, analytics, or insight role.
• Working knowledge of SQL and experience analysing data using Excel, Python, and/or R.
• Experience creating dashboards or visualisations with Power BI, Looker, Tableau, or similar tools.
• Exposure to statistical modelling techniques such as regression, segmentation, and factor analysis.
• Experience with survey, audience, marketing, or perception data is listed.
• Familiarity with media, advertising, brand, or marketing effectiveness analytics is listed.
• Experience with cloud-based data platforms is listed.

Work arrangement

• Advertised as a hybrid work model combining remote and in-office work; arrangements are to be agreed with the line manager and may change with notice for business needs.