A panel of three senior managers challenges you: "Your background is data science, not finance. Why are you the right hire for a Finance Analyst role here?" Deliver a concise, structured response that: (1) maps 3–4 concrete, quantified achievements from prior roles to core FP&A responsibilities (monthly close, variance analysis, revenue forecasting, headcount/opex tracking); (2) specifies a 30/60/90-day plan with measurable milestones (systems to learn, finance artifacts you will produce, automation to ship), including explicit deliverables you would commit to by day 30, 60, and 90; (3) identifies your top two finance knowledge gaps (e.g., working capital drivers, revenue recognition) and the exact resources or SMEs you’d use to close them; (4) explains how you would leverage strong SQL to compensate for weaker Excel initially without slowing the team; and (5) describes how you would handle conflicting guidance from multiple leaders in a pressure interview—escalation path, decision criteria, and how you’d communicate trade-offs.