Must have three (3) years of experience with: applying quantitative modelling and financial forecasting principles including bid optimization modeling, auction dynamics analysis, CPM-to-CPA efficiency modeling, budget pacing algorithms, and ROAS/CAC forecasting; extracting, querying and manipulating large datasets through proprietary and enterprise data systems including Vertica, STATA, SQL, Tableau, Power BI, or DB Visualizer; designing advanced data visualization frameworks and analytical dashboards to transform large complex data sets into meaningful visuals for key stakeholders; Microsoft Excel for large-scale data analysis and process automation, including development of VBA scripts and macros, creation of dynamic pivot tables, application of advanced lookup functions (INDEX-MATCH, VLOOKUP), data modeling, and formula optimization to improve reporting accuracy and analytical efficiency; developing strategic client-facing presentations grounded in quantitative data analysis, including translating complex technical product capabilities into clear, commercially-relevant narratives to support product adoption, upsell, and cross-sell initiatives; and partnering with clients to implement pixel-based and server-side tagging frameworks and ingest first-party data including configuring identity resolution workflows leveraging Unified ID (UID) solutions for deterministic matching, cross-device recognition, and person- or household-level audience activation and measurement. Lead strategic programmatic initiatives by architecting data-driven campaign frameworks across first-party data activation, CTV consolidation, and retail measurement, leveraging The Trade Desk platform and advanced reporting tools to translate complex performance analytics into quantifiable commercial outcomes, including incremental household reach, CPUHH efficiency gains, and retail sales lift to influence media investment strategy and budget allocation decisions.