Own the GTM analytics infrastructure; build data models for revenue forecasting.
Lead KPI stewardship across the customer lifecycle; define ARR, CAC, LTV metrics.
Design, run, and measure GTM experiments; quantify financial impact.
Build dashboards and reports for GTM and revenue for Finance, Rev Ops, execs.
Write and optimize SQL to extract/transform data from core systems.
Collaborate with FP&A, Accounting, Rev Ops, BI, and Data Eng on data sources and standards.

🎯 Requirements

Bachelor's degree in Finance, Economics, Data Analytics, CS, or related field.
8+ years total, or 6+ years in FP&A/Data Analytics in high-growth SaaS.
Advanced SQL; Snowflake data warehouse experience preferred.
Hands-on experience designing/measuring experiments; A/B tests and impact.
Deep understanding of SaaS metrics (ARR, NRR, CAC, LTV) and revenue modeling.
BI/visualization tools (Tableau, Looker, Power BI) and FP&A platforms (Abacum, Pigment).

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