Job Details

ID #55075392
State Massachusetts
City Boston
Job type Full-time
Salary USD TBD TBD
Source Flywire
Showed 2026-05-26
Date 2026-05-26
Deadline 2026-07-25
Category Et cetera
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Revenue Ops Analyst

Massachusetts, Boston, 02108 Boston USA
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The OpportunityThe Revenue Operations Analyst plays a critical role in driving operational excellence and scalable growth across Flywire’s Go-to-Market teams. This role goes beyond traditional reporting by leveraging automation, AI-driven insights, and intelligent systems to improve decision-making, reduce manual work, and increase Sales productivity.

You will design and optimize data workflows, build automated reporting solutions, and partner cross-functionally to embed more efficient, tech-enabled processes across the revenue organization. This role is ideal for someone who is analytically strong, systems-oriented, and excited to apply AI and automation to modernize Sales Operations.

What You’ll Do:Own and evolve recurring reporting and analytics (forecast, pipeline, productivity, KPIs) by building automated and scalable solutions that deliver real-time, actionable insights to GTM leadersDesign and maintain Salesforce dashboards and reporting frameworks, incorporating automation and AI-assisted analysis to identify trends, risks, and growth opportunitiesIdentify and eliminate manual processes by implementing automation across workflows such as territory management, quota assignments, and CRM data maintenancePartner with Sales, Marketing, RevOps, Finance, and Enterprise Systems to reimagine processes using automation, AI tools, and system integrations to improve efficiency and data qualityEvaluate and implement new tools or capabilities (AI, workflow automation, data enrichment) that enhance GTM productivity and decision-makingSupport Sales enablement by building scalable documentation, training, and self-service resources, including AI-assisted knowledge sharing where appropriateAct as a thought partner in evolving Flywire’s Sales Ops and Rev Ops tech stack toward a more automated, intelligent, and insight-driven ecosystem

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