• Collecting, evaluating, and interpreting complex open-source data to support proactive threat identification and trend analysis. • Identifying analytical pivot points, connecting disparate data sets, and carrying intelligence investigations from initial collection through to final assessment. • Scraping and analyzing information from niche and hard-to-access online environments to identify, assess, and contextualize security-relevant threats. • Developing and maintaining Python-based scraping tools and automation scripts targeting open-source platforms. • Collect, clean, and structure large datasets from diverse online sources. • Designing and implementing ETL workflows, including metadata tagging and automated data validation. • Normalizing and harmonizing collected data for seamless integration across analytic tools and internal intelligence systems. • Identifying emerging threat actors, narratives, and patterns relevant to executive security. • Conducting continuous online monitoring for indicators of physical threats or emerging security trends. • Producing clear, actionable intelligence deliverables for protective operations.