Analytics Lead
About the role
The Data & Analytics Platform team at Snorkel has migrated from Redshift to Snowflake, enabling 100+ users and centralizing all business data within three months. We are a lean team focused on ensuring a single source of truth for all business data. With Snowflake now adopted across the company, we are expanding our mandate to AI-first analytics and our highest-leverage data and analytics problems.
Responsibilities
Own and build out our AI-first analytics infrastructure end-to-end: semantic layer, LLM tooling, evals, and agents that analytically empower every team in the company.
Maintain this AI-first analytics infrastructure so it doesn’t decay as the business grows.
Define and implement the taxonomy and domain ontology to match Expert Contributors to projects and tasks at scale. This is foundational to our marketplace business model.
Architect a demand and supply model that gives leadership a shared, forward-looking view of where we're exposed and where to invest across domains, geographies, and acquisition channels.
Identify the next highest-leverage opportunities where the Data Team can address a business-limiting constraint and help prioritize them.
Be a trusted thought partner on data architecture, taxonomy, and analytics approach for operators, engineers, and executives across Snorkel.
Requirements
5+ years in data roles spanning analytics engineering, analytics, and data science, with comfort owning and moving between these types of work over the course of a project.
SQL fluency, strong Python skills, familiarity with the modern data stack (e.g. Fivetran, dbt), and hands-on Snowflake or comparable cloud warehouse experience.
High-autonomy IC track record: you don't need a team to get high-impact work done.
Hands-on experience with modern AI tooling: LLMs, semantic layers, eval frameworks, and the infrastructure work required to put these into production.
Experience identifying high-leverage opportunities in startups without a fully defined analytics agenda and comfort in going from 0-to-1 in high-growth environments.
Genuine enjoyment of stakeholder partnership: you value co-defining problems and sharing findings with business and tech leads, rather than seeing it as a distraction.
Bonus points
Streamlit and/or Snowflake Cortex experience.
Familiarity with AI/data labeling, DaaS, or marketplace business models.
Experience building semantic layers or BI infrastructure.
A/B testing in marketplace or workforce platform contexts.
Pay
Depending on your work location in the United States, the target annual salary for this position can range from $160,000 to $240,000. All offers include equity compensation in the form of employee stock options.