Revenue Analyst
Join Baseten as a Revenue Analyst to build and maintain data models and dashboards for revenue and usage reporting.
Posted by employer 11 hours ago
First seen on Joblaze 8 hours ago
Last verified on the company career page 8 hours ago
What you'll build
- Build and maintain production-grade dbt models and dashboards
- Create canonical marts for customers, products, and invoices
- Reconcile metered product usage to billed revenue
- Partner with Finance and Revenue Operations to define metrics
- Support monthly close and revenue forecasting
Must have
- 5+ years of experience in analytics engineering or related role
- Advanced SQL and dbt skills
- Hands-on experience with usage-based billing or metering platforms
- Experience working with Salesforce and CPQ data
Nice to have
- Strong product judgment and communication
- Working knowledge of model inference frameworks
- Hands-on forecasting experience with ARIMA or similar methods
- Practical experimentation experience
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Revenue Analyst at Baseten plays a crucial role in integrating various data sources to create a comprehensive view of customer revenue, linking contract terms, pricing, and product usage. This position requires advanced skills in SQL and dbt, along with experience in analytics engineering and revenue analytics, particularly in a high-growth B2B environment. Ideal candidates will have a strong background in usage-based billing and familiarity with Salesforce and CPQ data. Baseten's rapid growth and focus on AI infrastructure provide a dynamic context for this analytical role.
Joblaze insights
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Revenue Analyst role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: CPQ, Hex, Orb, SQL, Salesforce, Sigma.
- What seniority level is this role?
- baseten targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Revenue Analyst role at baseten.
From the original posting
THE ROLE
We're hiring a Revenue Analyst to scale the data foundation behind Baseten's revenue and usage reporting.
This role sits between Finance and Revenue Operations. You'll connect contract terms, pricing and CPQ data, product usage, metering, billing and invoices into one accurate view of customer revenue. Working with Finance Systems, you'll turn new pricing and contract structures into durable data models and dashboards that Finance and Revenue Operations can trust.
EXAMPLE INITIATIVES
Take a look at these recent posts on the products and growth this role will help us measure:
RESPONSIBILITIES
Build and maintain production-grade dbt models and dashboards that connect 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 to billed revenue, invoice line items and contract terms, and investigate gaps before they affect customers or financial reporting.
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 so revenue data stays reliable as systems change.
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, with a track record of building 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.
NICE TO HAVE
Strong product judgment and communication, with the ability to turn technical analysis into clear recommendations for Product, Engineering and business partners.
Working knowledge of model inference frameworks, model-serving and training workflows, and the infrastructure metrics that drive performance and cost.
Hands-on forecasting experience with ARIMA, Prophet or similar time-series methods, including backtesting, error analysis and scenario planning.
Practical experimentation experience, including test design, power analysis and knowing when directional evidence is enough to act.
Experience with AI infrastructure, developer platforms or inference.
BENEFITS
Competitive compensation, including meaningful equity
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Standard company text repeated across baseten's postings is omitted here.