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Описание вакансии
Текст:
TL;DR
Revenue Analyst (SQL/dbt): Building the data foundation for revenue and usage reporting by connecting contracts, pricing, CPQ, product usage, metering, billing, and invoices with an accent on usage-based commercial terms and reliable revenue metrics. Focus on designing production-grade dbt models, reconciling metered usage with billed revenue, and supporting forecasting, close, and operating reviews through accurate dashboards and analysis.
Location: Hybrid in San Francisco or New York, United States
Salary: $185,000–$240,000 annually, plus equity
Company
Baseten provides inference infrastructure, applied AI research, and developer tooling that help AI companies bring machine-learning models into production.
What you will do
- Build and maintain production-grade dbt models and dashboards connecting Salesforce, CPQ, contracts, Orb, and product usage data.
- Create canonical data 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, investigating discrepancies before they affect customers or financial reporting.
- Define and govern metrics for bookings, commitments, consumption, billed revenue, ARR, NDR, and expansion with Finance and Revenue Operations.
- Support monthly close, revenue forecasting, and operating reviews through variance and trend analysis.
- Document metric logic, data lineage, source ownership, exception handling, tests, and version control.
Requirements
- 5+ years of experience in analytics engineering, data analysis, revenue analytics, or a related role, ideally in 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 minimum commitments, prepaid credits, tiered or volume pricing, overages, custom rate cards, and contract changes.
- Experience with Salesforce and CPQ data, including products, price books, quotes, orders, amendments, and renewals.
- Experience building dashboards and self-serve analytics with BI tools such as Sigma or Hex.
Nice to have
- Strong product judgment and communication skills, with the ability to turn technical analysis into clear recommendations.
- Knowledge of model inference frameworks, model serving, training workflows, and infrastructure metrics related to performance and cost.
- Forecasting experience with ARIMA, Prophet, or similar time-series methods, including backtesting and scenario planning.
- Practical experimentation experience, including test design and power analysis.
- Experience with AI infrastructure, developer platforms, or inference.
Culture & Benefits
- Competitive compensation with meaningful equity.
- U.S. employees and dependents receive full medical, dental, and vision insurance coverage.
- Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year's Day.
- Paid parental leave and a fertility and family-building stipend.
- U.S. employees receive access to a company-facilitated 401(k).
- Exposure to ML startups and opportunities for learning and networking.
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