
Senior Revenue Operations Analyst
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Report directly to the VP of Revenue Operations.
• Lead strategic cross-functional projects by defining business challenges, exploring potential solutions, refining processes, and assessing their impact.
• Manage the calculations for quarterly bonus payments and oversee quota settings and updates.
• Maintain and enhance capacity models, forecasting algorithms, and product reporting.
• Collaborate with Data & Analytics and FP&A to ensure robust methodologies adapt as the business evolves.
• Take ownership of weekly KPI data extraction and develop reporting tools and dashboards for Revenue leadership.
• Conduct ad hoc modeling for high-profile initiatives, including capacity modeling and analysis of pricing and packaging impacts.
• Identify opportunities for process improvement and automation, driving implementation and rollout in partnership with cross-functional teams.
• Collaborate on annual planning processes, including capacity modeling, target setting, and the design of compensation plans.
• Develop and maintain AI agents in Claude for self-service, recurring analyses and data access.
• A minimum of 4 years of experience in Sales Operations, Revenue Operations, Business/Data Analytics, or a comparable quantitative discipline.
• Experience with Looker/Tableau for data visualization is preferred.
• Proficient in advanced Excel/Google Sheets modeling techniques.
• Capability to independently create and maintain complex, error-resistant spreadsheet models.
• SQL knowledge is a plus but not mandatory.
• Proven history of leveraging data to enhance business processes.
• Strong interpersonal skills.
• Ability to effectively communicate and collaborate with all levels of the Revenue team and C-suite executives.
• Experience with AI agents/tools like Claude is beneficial but not required.
• Exceptional written and verbal communication skills.
• Ability to simplify complex concepts and analyses for revenue leadership.
• Motivated self-starter, innovative, energetic, and comfortable leading initiatives in a fast-paced startup software environment.
• Performance bonus.
• Comprehensive benefits package.
• Additional applicable incentive compensation plans.
• An inclusive and supportive workplace.
• Option to opt-out of the AI-assisted hiring process without affecting consideration.
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