Own end-to-end intelligence solutions from problem framing to delivery.
Collaborate with data engineers, analysts, RevOps, and GTM teams.
Translate model outputs into clear business narratives via slides and reports.
Use AI tools (Cursor, Claude Code) to prototype quickly while maintaining quality.
Build reusable patterns, docs, and findings for the broader team.
Answer high-value GTM questions via analysis and experimentation.

🎯 Requirements

2-4 years in data science, analytics, or quantitative field.
BS or MS in STEM.
Python and SQL for data manipulation.
Solid stats, data analysis, predictive modeling, ML.
Direct GTM experience (Sales ops/Marketing analytics/RevOps), recurring revenue preferred.
Familiar with BI tools (Looker/Tableau) and AI tooling (LLM prompts) is nice-to-have.

🎁 Benefits

Hybrid culture: in-office 3 days/week unless remote.
Highly competitive benefits with $0 premium options.
Strong 401(k) match and equity.
Flexible time off.

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