Data Engineer | Data Scientist | Analytics Engineer

Own end-to-end data management lifecycle for the product catalog, driving completeness and accuracy across all SKUs. Build and maintain Python/SQL data pipelines, including automated ETL ingestion, validation, alerting, and web scraping workflows. Design and maintain Power BI dashboards and automated reports for Sales and Operations teams. Collaborate with engineers and stakeholders to define and prioritise product roadmap features. Develop internal tooling to automate repetitive data operations and improve throughput.

Led data-driven analysis of key commercial categories to support business decisions and improve campaign performance. Coordinated cross-functional stakeholder alignment to ensure execution of commercial strategy. Led development of robust ETL workflows integrating high-volume data from disparate sources. Developed analytical tools and dashboards in SQL and Power BI to track KPIs and inform commercial strategy.

Designed and executed end-to-end automated ETL pipelines using Python and SQL, reducing manual data validation efforts and ensuring 99%+ catalog data integrity. Engineered data-scraping and automated monitoring tools in Python to track catalog completeness. Collaborated cross-functionally with sales to optimize data-driven commercial strategies.

Analysed and controlled key commercial categories, supporting data-driven commercial decisions. Built data analysis tools and contributed to operational tooling to improve planning processes.