Partner with FP&A and Finance to improve revenue forecast and reporting.
Build analytics-ready data models and warehouse schemas in SQL/Snowflake.
Create Connection Subscription Ledger dataset for BI productionization.
Translate finance requirements into data logic; drive iterations and documentation.
Monitor KPIs and enable cross-functional insights for actions.

🎯 Requirements

Bachelor's degree in a relevant field; additional certifications are a plus.
2–5 years in data engineering/analytics roles in Snowflake or cloud data warehouse.
Strong SQL with advanced features and data modeling for analytics.
1 year of dbt-style modular SQL, testing, and documentation.
Proficiency in AI-based tech stack solutions and LLM tooling.

🎁 Benefits

Health, dental, and vision insurance.
401(k) plan with company match.
PTO and paid time off.

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