Revenue Operations Analyst

Posted 7 months agoInactiveViewed
United StatesFull-Time
Company:Cresta
Location:United States
Languages:English
Seniority level:Senior, 2–5 years
Experience:2–5 years
Skills:
Business IntelligenceData AnalysisETLSalesforceAnalytical SkillsMicrosoft ExcelReportingData visualizationData modeling
Requirements:
2–5 years in data analysis, business intelligence, or GTM operations roles in SaaS or startup environments Advanced Excel/Google Sheets skills (pivot tables, lookups, conditional logic) Experience working with Salesforce CRM (reporting, data model understanding, etc.) Familiarity with BI tools such as Looker Studio, Tableau, or Power BI Strong analytical skills, attention to detail, and data quality ownership Clear communicator with the ability to collaborate cross-functionally Eagerness to learn, grow, and take on new challenges in a high-growth environment
Responsibilities:
Analyze key GTM metrics across pipeline, bookings, and customer lifecycle stages Develop, automate, and maintain reporting in Salesforce, Looker Studio, Google Sheets, and Excel Translate data into business insights that influence strategy and performance Prepare and distribute compensation-related documents, such as commission statements and incentive plan updates Ensure accurate calculation and distribution of commissions in line with sales agreements and performance metrics Assist in troubleshooting commission-related issues and provide guidance to employees and managers Ensure accuracy and consistency of data across Salesforce and other RevOps systems Identify, investigate, and resolve data quality issues that impact reporting Collaborate with Sales, Marketing, and CS teams to support recurring QBRs and ad hoc strategic initiatives Provide analytical support for goal tracking, territory reviews, and performance deep-dives Document recurring reporting workflows and build scalable data processes Help identify automation opportunities to streamline operational efficiency Ensure alignment on GTM KPIs and definitions Contribute to a shared data culture by promoting transparency, consistency, and accuracy
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