Define governed data models for core SaaS metrics (ARR, NRR, churn).
Use expert SQL and Python to build Snowflake datasets for FP&A reporting.
Manage the Finance DBT environment: standards, testing, modular facts/dimensions.
Lead efforts to identify bottlenecks; build SQL/Python automation.
Prototype RAG and LangChain-based AI for automated business commentary.

🎯 Requirements

5–7+ years in Finance Analytics or Analytics Eng/Data Eng.
Expert SQL with Snowflake data modeling and warehousing.
Strong Python for data engineering, automation, APIs and pipelines.
Significant DBT experience: dependencies, testing, CI/CD.
ELT pipelines design/orchestration (Airflow/Prefect).
Designing/operating data models for core SaaS metrics (ARR, NRR, churn).

🎁 Benefits

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!

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