Lead analytics for Snorkel, a company transforming expert knowledge into specialized AI. Founding member defining and growing analytics for a rapidly scaling business.
Responsibilities
Found the Analytics Function: Build the strategy, processes, and tools for analytics within the DaaS org, creating the foundation for a function that will scale with the business.
Own Capacity & Supply Modeling: Develop and maintain models that balance demand for expert contributors with available supply, helping drive forecasting, staffing, and resource allocation.
Drive Data Infrastructure & BI: Partner with Ops, Eng, and Product to establish reliable pipelines and dashboards to monitor data health, contributor quality, and operational metrics.
Analyze & Optimize Contributor Experience: Own the measurement framework for the expert contributor journey—including conversion funnels, retention, and quality metrics—to surface opportunities for growth and efficiency.
Guide Business Decision-Making: Partner with the GM and DaaS leadership to provide actionable insights on GTM, delivery operations, and supply/growth trade-offs.
Scale the Team: Over time, recruit, mentor, and lead a team of analysts and data scientists as new needs are identified, defining the culture and operating model of Analytics at Snorkel.
Requirements
8+ years of experience in analytics, strategy, operations, or data science roles, with at least 3+ years in a senior or manager capacity.
Proven ability to build and scale analytics or BI functions from the ground up in a high-growth environment.
Strong expertise in building capacity and supply-demand models, ideally in marketplace, services, or workforce businesses.
Advanced proficiency in SQL and analytics tooling; comfort with data pipelines, dashboards, and BI platforms.
Excellent problem-solving and strategic thinking skills; ability to translate ambiguous questions into structured analysis and clear recommendations.
Strong communicator and cross-functional partner; able to influence at all levels of the org
Experience leading teams (formally or informally) and enthusiasm for growing into a people leadership role.
Bonus: Exposure to contributor/contractor ecosystems, marketplaces, or data/AI businesses.
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