Lead Analytics Engineer

HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. As a Lead Analytics Engineer focused on Revenue & Financial Modeling, you will own the end-to-end modeling of subscription revenue and financial KPIs, working closely with Finance to ensure outputs reconcile to source systems such as Stripe.

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
• Partner with Finance to translate business definitions into precise, production-grade SQL logic
• Build and maintain reconciliation logic between dbt models, Stripe, and Finance-owned reports
• Investigate and resolve discrepancies surfaced during reconciliation and downstream use
• Own the technical correctness of revenue numbers used in executive and external reporting
• Own data quality for all revenue and financial models, including test coverage and issue investigation
• Ensure revenue models adhere to Analytics Engineering standards for documentation, lineage, ownership, and catalog synchronization
• Participate in governed change workflows for critical revenue assets, ensuring changes are reviewed, traceable, and auditable
• Apply sound engineering judgment when balancing correctness, reliability, and delivery speed
• Establish a durable revenue and KPI foundation in the near term
• As the foundation stabilizes, improve performance, maintainability, and usability of revenue models
• Over time, support forecasting, cohort analysis, and advanced revenue analytics, and contribute revenue-domain expertise to broader Analytics Engineering initiatives
• Work closely with Finance as the technical owner of revenue modeling
• Coordinate with Data Engineering on ingestion, backfills, and schema changes across Stripe and other revenue-related source systems
• Support BI and Analytics teams to ensure revenue models are usable and performant

Requirements:

• 7+ years of experience in analytics engineering, data engineering, or similar roles
• Hands-on experience modeling subscription or usage-based revenue, ideally using Stripe
• Proven ownership of financial or investor-facing metrics implemented in code (not spreadsheets)
• Advanced SQL and dbt experience in a modern data warehouse such as Snowflake
• Experience reconciling modeled outputs to source systems and financial reports
• Comfortable partnering directly with Finance and owning the technical implementation of their definitions
• Strong discipline around testing, documentation, and maintainability