Fraser Hopkins

Designed the firm’s data infrastructure using Python and SQL to automate the ingestion and transformation of market data, ensuring a scalable source of truth. Conducted deep-dive analyses on portfolio performance and user engagement to identify growth opportunities and influence capital allocation. Developed automated dashboards that replaced manual tracking, improving data integrity and allowing for real-time strategic pivots based on robust performance metrics. Designed repeatable, documented data processes that enabled internal operations to scale efficiently while providing clear, actionable narratives for high-level stakeholders.

Partnered with Product Managers to analyse user engagement patterns within banking datasets, providing the data-driven evidence to prioritise high-impact feature roadmaps. Conducted deep-dive analyses to uncover the 'why' behind metric shifts, delivering actionable recommendations that moved beyond standard reporting to improve client financial performance. Developed automated data pipelines that enhanced team efficiency by 300% and owned the end-to-end delivery of BI dashboards for tracking sales funnels and product health. Collaborated with Data Engineers and Marketing teams to ensure data quality and alignment on growth initiatives, using predictive modelling to forecast trends for annual planning.