Leads complex data analysis and business intelligence initiatives supporting revenue forecasting, profitability, operational planning, and business performance. Builds analytical models, queries, dashboards, reports, and data workflows using SQL and Python. Resolves data-quality issues, improves processes, communicates actionable insights, and coordinates with business and technical teams. Mentors analysts, reviews analytical work, and provides technical guidance on data visualization and analytical methods.

Supports proposal development from pre-RFP planning through submission by reviewing solicitation requirements, coordinating contributors and deadlines, drafting proposal materials, maintaining trackers and content libraries, and completing compliance, editing, formatting, version control, and electronic submission activities.