Lead Analytics Engineer job opportunity at HighLevel.

HighLevel Lead Analytics Engineer

Experience: 5 Years

Pattern: Remote

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Dev,Dev-Platform

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Bachelor's (B.Sc.)

United States ..........United States Of America

About HighLevel: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. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.Our PeopleWith over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.Our ImpactAs of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.About the Role:As a Senior Analytics Engineer focused on Revenue & Financial Modeling, 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, and you will be accountable for ensuring those outputs reconcile to source systems such as Stripe.You will operate within the architectural and governance standards defined by the Analytics Engineering team, while owning the Revenue domain as an execution and implementation leader. Your work will directly power ARR, MRR, NRR, churn, customer counts, and other metrics used in executive reporting and external disclosures.\nResponsibilities:Design and maintain the canonical revenue and subscription data model, centered on StripeModel subscription lifecycles including upgrades, downgrades, renewals, cancellations, refunds, and disputesImplement ARR, MRR, NRR, churn, and customer/account counts as tested, versioned dbt modelsPartner with Finance to translate business definitions into precise, production-grade SQL logicBuild and maintain reconciliation logic between dbt models, Stripe, and Finance-owned reportsInvestigate and resolve discrepancies surfaced during reconciliation and downstream useOwn the technical correctness of revenue numbers used in executive and external reportingOwn data quality for all revenue and financial models, including test coverage and issue investigationEnsure revenue models adhere to Analytics Engineering standards for documentation, lineage, ownership, and catalog synchronizationParticipate in governed change workflows for critical revenue assets, ensuring changes are reviewed, traceable, and auditableApply sound engineering judgment when balancing correctness, reliability, and delivery speedEstablish a durable revenue and KPI foundation in the near termAs the foundation stabilizes, improve performance, maintainability, and usability of revenue modelsOver time, support forecasting, cohort analysis, and advanced revenue analytics, and contribute revenue-domain expertise to broader Analytics Engineering initiativesWork closely with Finance as the technical owner of revenue modelingCoordinate with Data Engineering on ingestion, backfills, and schema changes across Stripe and other revenue-related source systemsSupport BI and Analytics teams to ensure revenue models are usable and performantRequirements:5+ years of experience in analytics engineering, data engineering, or similar rolesHands-on experience modeling subscription or usage-based revenue, ideally using StripeProven ownership of financial or investor-facing metrics implemented in code (not spreadsheets)Advanced SQL and dbt experience in a modern data warehouse such as SnowflakeExperience reconciling modeled outputs to source systems and financial reportsComfortable partnering directly with Finance and owning the technical implementation of their definitionsStrong discipline around testing, documentation, and maintainabilitySuccess in this role looks like:Stripe revenue data is modeled once and reused everywhereARR, MRR, NRR, and churn are produced by tested dbt models that reconcile to source systemsRevenue models are reliable, governed, and safe to evolve over timeFinance and Analytics depend on the data platform as the single source of truth for revenue metrics\n$144,000 - $200,500 a year\nEEO Statement:The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.#LI-Remote #LI-NJ1

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Lead Analytics Engineer job opportunity at HighLevel.

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