Senior Business Analyst

Proven experience working with senior leadership to shape decisions. Ability to understand business drivers across GTM, Finance, Support, CX, and Product. Ability to influence without authority and build cross-org alignment. Strong judgment and comfort navigating ambiguity, trade-offs, and competing priorities. Exceptional communicator able to synthesize data into compelling stories and clear recommendations. Experience developing KPI frameworks, performance diagnostics, and insight narratives. Actively identifies opportunities and issues before they surface. Comfort structuring ambiguous areas from first principles. Ability to ask and reframe the right questions to unlock insight. Familiarity with marketplace or B2B metrics; experience in a marketplace environment highly valued. Solid understanding of how operational signals roll up to financial outcomes. Commitment to analytical excellence including documentation and peer-review. Deep interest in AI systems, human-in-the-loop evaluation, or responsible AI (experience valued but not required). Strong experience with modern BI tools (Metabase, Looker, Tableau, etc.). Experience with dbt/semantic models highly desirable. Ability to design scalable dashboards, models, and workflows. Strength in turning complexity into clarity.

Lead high-impact analyses to clarify performance and diagnose issues. Build KPI frameworks and business-health reporting for senior leadership. Own analytical workstreams for business reviews and forecasting. Act as a trusted partner to senior leaders, providing clarity and insight. Drive alignment on metrics and success criteria across teams. Translate analysis into clear next steps for accountability and action. Identify leading indicators, emerging risks, and opportunities. Understand marketplace mechanics and connect patterns across various business functions. Highlight areas needing intervention and recommend strategic responses. Build scalable dashboards and reporting for decision-making. Work with analytics engineering to improve data models. Contribute to improving team processes like documentation and peer-review.