Lead Analytics Engineer

About the Role:

• You will own the end-to-end modeling of subscription revenue and financial KPIs.
• You will work closely with Finance to translate business definitions into precise, testable logic.
• Your work will directly power ARR, MRR, NRR, churn, customer counts, and other metrics used in executive reporting and external disclosures.

Responsibilities:

• Design and maintain the canonical revenue and subscription data model, centered on Stripe.
• Model subscription lifecycles including upgrades, downgrades, renewals, cancellations, refunds, and disputes.
• Implement ARR, MRR, NRR, churn, and customer/account counts as tested, versioned dbt models.

Requirements:

• 5+ years of experience in analytics engineering, data engineering, or similar roles
• Hands-on experience modeling subscription or usage-based revenue, ideally using Stripe
• Advanced SQL and dbt experience in a modern data warehouse such as Snowflake