Proven experience in data or business analysis within commercial, marketing, or product-focused environments, with a strong grasp of customer behaviour and business performance metrics.
Technical proficiency in Excel, SQL, and either Python or R, with hands-on experience using data visualisation tools such as Power BI, Tableau, or Looker.
Strong understanding of marketing analytics, pricing strategies, and customer segmentation, with the ability to translate data into actionable insights.
Experience in agile or test-and-learn environments, demonstrating adaptability and the ability to manage multiple priorities in a fast-paced, evolving context.
Analytical and outcome-oriented mindset, capable of breaking down complex problems and delivering insights that drive real business impact.
Collaborative and proactive approach, working effectively across cross-functional teams, showing curiosity, and continuously seeking improvement through data.
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