Island-posted 3 months ago
Full-time • Mid Level
Coppell, TX
251-500 employees
Publishing Industries

The Revenue Operations Analyst is responsible for providing operational partnership to sales, sales management, and other cross-functional teams. This role is Dallas based and expected to be in the office 5 days a week. The position involves working closely with GTM stakeholders to improve performance and drive the adoption of new processes and methodologies.

  • Help drive delivery and adoption of new processes & methodologies.
  • Proactively identify process improvement gaps and help solve them.
  • Conduct comprehensive analyses of sales and customer success performance, including forecasting accuracy, pipeline health, productivity, bookings, churn and renewal trends.
  • Collaborate on renewal and expansion strategies to enhance customer lifetime value.
  • Provide visibility and insights into KPIs and performance metrics, enabling stakeholders to make informed, data-driven decisions.
  • Proactively identify trends, risks, and opportunities within sales and customer success metrics, developing clear, concise, and impactful insights and recommendations for senior leaders.
  • Own territory planning, quota setting, and account movement for the sales team.
  • Serve as a backup to Deal Desk function at quarter end.
  • Ability to jump into special projects or backfill as the need arises.
  • 3-5 years experience in Sales or Revenue Operations analyst roles.
  • Experience at a global B2B or SaaS company with analytics, reporting, and systems.
  • Strong analytical skills, capable of diving deep into data sets and presenting clear recommendations.
  • Knowledgeable in multiple GTM technologies (CRM, CPQ, Marketing automation, data visualization, forecasting, data sources, revenue automation).
  • Demonstrated ability to effectively collaborate cross-functionally and contribute constructively in team settings across all levels of the organization.
  • Comfortable dealing with ambiguity and independently solving problems.
  • Effective communicator able to translate complex data into clear insights.
  • High-energy, self-motivated professional with a high level of detail orientation and organization.
  • Background or education in Business, Operations, Technology, AI, or related fields.
  • Curiosity and a passion for solving tough problems.
  • Servant leadership mindset.
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