RevOps Lead: AI-Powered Territory & GTM Analytics

RevOps Careers; Minneapolis (MN); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Open Paid Time Off

Health, dental, vision coverage

401(k) with company matching

Job summary

Siteimprove seeks a Senior Revenue Operations Analyst to own sales and customer success analytics, data models, and AI-driven workflows. You’ll design territory logic, compensation analytics, and executive dashboards while integrating data from Salesforce, Planhat, Zuora, and the data warehouse.

You will partner with leaders across GTM to translate questions into durable analytics, validate results, and drive repeatable insights with AI-enabled tooling in a modern Microsoft stack environment.

Qualifications

• 5+ years of experience in Revenue Operations, Sales Operations, or related analytical roles.
• Experience building territory plans, quota/target setting, and analytics for B2B SaaS.
• Hands-on use of AI assistants and agent-based tooling in analytics workflows.

Responsibilities

• Own territory strategy, administration, and alignment across Sales/CS with changelogs.
• Build compensation and attainment analytics; support governance and auditing.
• Create dashboards and semantic models; manage data pipelines and ETL/ELT workflows.
• Develop AI-enabled workflows and copilots to improve GTM productivity and decisions.
• Partner with Finance, HR, Payroll, and GTM leaders to deliver trusted insights.

Skills

AI tooling

Power BI

SQL

DAX

Data modeling

Territory design

Compensation analytics

Forecasting

Education

Bachelor's degree in Business/Analytics

Tools

Salesforce

Planhat

Zuora

Clari

Power BI

Job description

Siteimprove seeks a Senior Revenue Operations Analyst to own sales and customer success analytics, data models, and AI-driven workflows. You’ll design territory logic, compensation analytics, and executive dashboards while integrating data from Salesforce, Planhat, Zuora, and the data warehouse.

You will partner with leaders across GTM to translate questions into durable analytics, validate results, and drive repeatable insights with AI-enabled tooling in a modern Microsoft stack environment.