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LeadFull-timeMicroservicesGitAIAPI
Salary Range
$144,000 - $200,500 /year
About the Role
We are looking for a Senior Analytics Engineer focused on Revenue & Financial Modeling to join HighLevel. This role involves owning the end-to-end modeling of subscription revenue and financial KPIs, working closely with Finance to translate business definitions into precise logic, and ensuring outputs reconcile to source systems like Stripe.
Key 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
- ✓5+ 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
