Key Responsibilities
· Lead the design and delivery of dashboards, forecasting models, and ad hoc analysis to support key commercial initiatives.
· Translate business objectives into data questions, and insights into strategic recommendations.
· Use SQL, Power BI, and other visualisation tools to analyse large datasets from multiple sources.
· Monitor KPIs across sales, marketing, product, and customer performance, identifying trends and anomalies.
· Partner with commercial teams to support pricing decisions, customer segmentation, and revenue optimization.
· Own data storytelling for senior leadership, ensuring insights are aligned with commercial goals.
· Drive the automation of reporting processes, ensuring efficiency, scalability, and accuracy.
· Mentor junior analysts and contribute to best practices in data governance and analytics standards.
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Required Skills & Experience
· 4+ years of experience in data analysis or business intelligence, with a commercial or strategy focus.
· Strong proficiency in SQL, Power BI (or Tableau), Excel, and Python.
· Demonstrated ability to influence business outcomes through data-led insights.
· Proven track record in analysing commercial performance, customer behaviour, and market dynamics.
· Experience working closely with cross-functional stakeholders including finance, product, and marketing teams.
· Exceptional data storytelling skills—able to present findings to non-technical audiences with clarity and impact.
· Understanding of financial metrics such as ROI, contribution margin, Profit and Loss statements
· High degree of commercial awareness and strategic thinking.
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Desirable Qualifications
· Degree in Business, Economics, Data Science, or a related field.
· Experience in a high-growth or digital-first environment.
· Exposure to tools such as Google Analytics, CRM platforms, or cloud data platforms
· Familiarity with A/B testing and experimental design.
· Experience of Data Warehouse construction and development.