Overview:

Serve as a hands-on, hypothesis-driven analyst supporting the VP of Global Revenue Operations on high-impact initiatives across growth, retention, capacity, forecasting, and GTM systems. You’ll blend consulting-grade problem solving with rigorous data work. Translating ambiguous questions into structured analyses, models, and crisp executive recommendations.

Responsibilities:

Turn Ambiguity into Structured Problems - Break broad questions into clear hypotheses and workplans; define data needs, success metrics, and decision points.
Build Decision-Ready Models & Scenarios - Develop dynamic models (ARR/NRR/GRR waterfalls, pipeline conversion, capacity & coverage, pricing/discounting, services attach, partner influence) with sensitivity analysis and clear “so-what's”
Synthesize Insights & Executive Storytelling - Convert analysis into board- and C-suite-ready narratives (one-pagers, memos, and slides) with options, trade-offs, and recommended actions
Data Gathering & Quality Assurance - Source, reconcile, and validate data across CRM/BI systems (e.g., Salesforce, Clari, Tableau/Power BI; SQL extracts where needed). Document assumptions and maintain version control
Cross-Functional Partnering - Work with Sales, CS, Marketing, Product, Finance, and GTM Systems to pressure-test findings, align on actions, and drive follow-through

Qualifications:

Experience: 3–6+ years in top-tier management consulting (MBB/Big Four) or strategy/RevOps/FP&A roles with visible executive exposure. Comfort operating in fast-moving, data-sparse environments
Problem Solving: Hypothesis-led, MECE thinker; adept at formulating and testing hypotheses, running structured analyses, and converging on recommendations.
Analytics & Tooling: Advanced Excel/Sheets, working SQL for self-serve queries; familiarity with Salesforce + a BI stack (Tableau/Power BI).
Communication: Executive-level writing and slide craft; able to distill complexity into clear options, implications, and asks.
Stakeholder Management: Credible with senior leaders; can influence without authority and drive cross-functional alignment.
Rigor & Discretion: High standards on data integrity, documentation, and confidentiality; reliable judgment on sensitive initiatives.

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