Senior Revenue Operations & Analytics Lead

LeanScale, Inc.

United States

Remote

USD 100,000 - 132,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Flexible time off
Parental leave
L&D stipend
Donation matching
Wellbeing resources

Job summary

Zuora is seeking a data and analytics professional to drive transparency and insights across the organization. You will build dashboards and forecasting models to support the GTM strategy, collaborating with Sales, Marketing, Engineering, and Finance to deliver actionable, scalable analytics.

The role focuses on developing reusable data definitions, leading ad-hoc analyses, and identifying opportunities for growth in a dynamic, SaaS/subscription business environment.

Qualifications

  • 4+ years' experience in sales strategy, sales operations, business analyst, or financial analyst roles.
  • Proficiency with Claude Code or comparable AI-assisted development tools for reporting scripts and data pipelines.
  • Strong problem-solving, action-oriented mindset, and cross-functional collaboration skills.
  • Experience with data modeling, ML algorithms, and data science techniques.

Responsibilities

  • Support GTM reporting with a portfolio of dashboards and reports.
  • Build out a standardized forecasting framework and cross-functional review process.
  • Maintain reusable definitions and markdown documentation for team enablement.
  • Conduct ad-hoc analyses to answer critical business questions with data-driven insights.
  • Identify opportunities to further fuel GTM growth.

Skills

Sales strategy
Sales operations
Business analytics
Financial analysis
Claude Code

Tools

Claude Code

Job description

Zuora is seeking a data and analytics professional to drive transparency and insights across the organization. You will build dashboards and forecasting models to support the GTM strategy, collaborating with Sales, Marketing, Engineering, and Finance to deliver actionable, scalable analytics.

The role focuses on developing reusable data definitions, leading ad-hoc analyses, and identifying opportunities for growth in a dynamic, SaaS/subscription business environment.

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