What You’ll Do
- Partner with cross-functional teams to define and measure key metrics, design experiments, and extract insights that guide strategy
- Build analytical frameworks and models that support Product, Marketing, Platform, and Finance initiatives
- Develop tools, datasets, and pipelines that make data more accessible and actionable across the company
- Lead end-to-end data projects—from scoping the problem to delivering the solution
- Champion data quality, reliability, and democratization throughout the organization
- Work closely with Product, Engineering, Design, Research, Sales, Marketing, and Finance to drive measurable impact
What You Bring
Required:
- 4+ years of experience in Analytics, Data Science, or a related field
- Fluency in SQL and proficiency in Python or R
- Experience with distributed data systems (Redshift, Snowflake, Presto, Hive, Spark, etc.)
- Strong grounding in statistical methods, experimentation, and/or forecasting
- Proven ability to work cross-functionally and clearly communicate with both technical and non-technical partners
- Experience supporting Product, Marketing, Finance, or internal Platform/Tooling teams
Bonus Points:
- Self-starter energy with the ability to thrive in fast-paced and ambiguous environments
NYC Pay Transparency Disclosure
Salary Range: $100,000–$250,000 annually, plus equity and benefits.