Revenue Operations Analyst
New
J
JobgetherSaaS
Based in the United StatesFull-TimeMiddle
SalaryCompetitive salary with bonus opportunities.
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- SQLData AnalysisSalesforceTableauMicrosoft Excel
Requirements
- 5+ years of experience in Revenue Operations, Sales Operations, Customer Operations, FP&A, consulting, finance, or another operational function focused on revenue performance, reporting, or process improvement.
- Demonstrated experience developing reporting and insights that support revenue performance, forecasting, pipeline management, retention, expansion, or customer lifecycle visibility.
- Strong analytical ability, with experience working across multiple data sources to identify trends and translate findings into practical recommendations.
- Proven experience collaborating cross-functional with Sales, Customer Success, Renewals, Revenue Operations, Finance, or comparable teams.
- Experience using CRM, revenue, customer success, spreadsheet, and business intelligence platforms such as Salesforce, Gainsight, Gong, Google Sheets, Excel, Tableau, or similar tools.
- Working knowledge of sales processes, forecasting methodologies, customer lifecycle metrics, and financial reporting.
- Strong communication skills, with the ability to present complex information clearly to senior stakeholders and varied audiences.
- Experience using AI-enabled tools to enhance reporting, analysis, workflow efficiency, or operational outputs.
- A curious, proactive, and improvement-oriented mindset, with the ability to work independently while building strong relationships across teams.
Responsibilities
- Partner with revenue leaders and cross-functional stakeholders to improve operational visibility, decision-making, and performance across the revenue lifecycle.
- Build, maintain, and enhance reporting covering pipeline visibility, bookings, forecasting, retention, expansion, customer health, and overall revenue performance.
- Analyze data from multiple systems to identify trends, risks, opportunities, and root causes across Sales, Customer Success, Renewals, and Revenue Operations.
- Translate analytical findings into clear, actionable recommendations for senior leaders and business stakeholders.
- Support the definition and scaling of revenue processes, including lead-to-opportunity workflows, sales handoffs, customer lifecycle management, renewals, expansion, and forecasting.
- Design streamlined workflows that reduce manual tasks, improve data accuracy, and enable revenue teams to operate more efficiently at scale.
- Adapt communication and reporting to different audiences, making complex operational and financial information easy to understand.
- Identify and implement improvements that reduce manual reporting while increasing visibility into key metrics, goals, and budget allocations.
- Use AI-enabled tools to improve reporting, analysis, playbook development, and workflow efficiency.
- Continuously evaluate revenue reporting, processes, systems, and governance, recommending improvements based on data and observed business trends.
- Support the implementation and ongoing optimization of revenue technologies, ensuring systems provide reliable data and enable effective decision-making.
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