Revenue Analyst
Build the data foundation for revenue and usage reporting by connecting contracts, pricing, product usage, billing, and invoices. The role requires 5+ years of analytics or revenue-focused experience, advanced SQL and dbt expertise, and familiarity with usage-based billing systems.
About the job
Responsibilities
- Build and maintain production-grade dbt models and dashboards connecting Salesforce and CPQ, contracts, Orb, and product-usage data.
- Create canonical marts for customers, products, contract terms, subscriptions, commitments, credits, billable usage, and invoices.
- Reconcile metered product usage with billed revenue, invoice line items, and contract terms; investigate discrepancies.
- Partner with Finance and Revenue Operations to define and govern metrics for bookings, contracted commitments, consumption, billed revenue, ARR, NDR, and expansion.
- Support monthly close, revenue forecasting, and operating reviews with variance and trend analysis.
- Document metric logic, source ownership, lineage, and exception handling; add tests and version control.
Requirements
- 5+ years of experience in analytics engineering, data analysis, revenue analytics, or a related role, ideally at a high-growth B2B company.
- Advanced SQL and dbt skills, including production-grade models, tests, documentation, and lineage in a cloud data warehouse.
- Hands-on experience with usage-based billing or metering platforms such as Orb and payment platforms such as Stripe.
- Experience modeling usage-based commercial terms, including minimum commitments, prepaid credits, tiered or volume pricing, overages, custom rate cards, and contract changes.
- Experience working with Salesforce and CPQ data, including products, price books, quotes, orders, amendments, and renewals.
- Experience building dashboards and self-serve analytics in BI tools such as Sigma or Hex.
Preferred Qualifications
- Direct experience with Orb in a high-growth B2B consumption-based business.
- Familiarity with revenue recognition, monthly close, and audit support.
- Experience with AI infrastructure, developer platforms, or inference.
Compensation and Benefits
- Annual compensation of $185,000–$215,000, plus meaningful equity.
- Medical, dental, and vision insurance fully covered for employees and dependents.
- Flexible paid time off and company-wide winter break.
- Paid parental leave.
- Fertility and family-building stipend through Carrot.
- Company-facilitated 401(k).
Skills
SQL, dbt, Cloud Data Warehouses, Orb, Stripe, Salesforce, CPQ, Sigma, Hex, Revenue Recognition
Similar jobs
Revenue Operations jobsOwns international cloud compute sourcing, supplier relationships, RFPs, negotiations, and market intelligence for a rapidly scaling GPU infrastructure fleet. Requires at least five years of sourcing or infrastructure commercial experience, cloud and GPU knowledge, contract negotiation expertise, and strong analytical and cross-functional communication skills.
Own revenue operations across Sales and Customer Success, connecting GTM systems, handoffs, forecasting, reporting, and lifecycle metrics. The role requires 5–7 years of B2B software operations experience, CRM and CS platform expertise, and strong analytical and cross-functional skills.
Leads strategic and operational initiatives across the GTM organization, partnering with senior leadership to accelerate revenue growth, improve monetization, and scale operating processes. Requires at least 3 years of experience in business operations, consulting, investment banking, or a similar analytical role.
The first RevOps hire will build the CRM, forecasting, planning, and revenue processes supporting a fast-growing AI company. Reporting to the CRO, this hands-on operator will combine SQL-driven analysis, GTM systems expertise, and strategic planning across sales and finance.
Build and operate the revenue organization’s data warehouse, integrations, production services, AI-agent infrastructure, and HubSpot CRM. The role requires 4+ years in GTM systems, RevOps engineering, or CRM administration, plus production experience with SQL, Python, data pipelines, and agentic applications.