data
Posted 2 weeks agoStrategy & Analytics Senior Lead, Growth
at Faire
New York City, United StatesHybrid
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Responsibilities
- Own the end‑to‑end measurement framework for Lifecycle & CRM marketing globally, spanning aggregate performance, cohort‑level insights, and individual campaign evaluation.
- Define and evolve north‑star KPIs and success metrics for lifecycle marketing, ensuring alignment with broader company and P&L goals.
- Lead complex, ambiguous analytical efforts that require balancing short‑term performance with long‑term customer value.
- Design, analyze, and synthesize experiments focused on driving user behavior across the retailer and brand sides of the marketplace.
- Own and evolve payback, ROI, and LTV frameworks for lifecycle marketing, informing spend allocation and growth decisions.
- Lead analyses to assess and improve attribution methodologies (e.g., scalars, incrementality approaches, MTA tradeoffs).
- Support planning, forecasting, and scenario analysis for lifecycle investments in partnership with Strategic Finance.
- Distill complex analyses into crisp narratives tailored to technical and non‑technical audiences, including executives.
- Build and own strategic dashboards and reporting that enable faster, better decision‑making across Marketing.
- Influence analytical best practices across Marketing Analytics by setting standards for rigor, documentation, and communication.
- Mentor and level up analysts through informal coaching, feedback, and domain expertise sharing.
Requirements
- At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
- experience in analytics, strategy, consulting, investment banking, product analytics, or business operations at a high‑growth technology or marketplace company.
- Proven ability to own ambiguous, high‑stakes analytical problems end‑to‑end and drive them to clear business impact.
- experience in lifecycle/CRM measurement , experimentation, and ROI analysis.
- Strong understanding of attribution methodologies and causal inference tradeoffs in a marketing context.
- Advanced SQL proficiency; comfort working directly with large, imperfect datasets.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.