Senior Revenue Operations Specialist

New
D
DatacorSoftware solutions
Remote, USFull-TimeSenior
Salary not disclosed
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Job Details

Experience
4-7 years of experience in an analytical role
Required Skills
Data AnalysisSalesforceMicrosoft ExcelHubSpotGoogle Sheets

Requirements

  • 4-7 years of experience in an analytical role
  • Proficiency in administering and implementing Sales Tools including Salesforce, Lead routing tools, Sales enablement platforms, Marketing automation tools, and Compensation administration software
  • In-depth knowledge of Salesforce architecture, data model and platform capabilities
  • Ability to perform advanced systems administrative functions, including automation, workflows, approvals, security, validation rules, and process development
  • Ability to work with non-technical business leaders to translate their needs into a scalable solution
  • Exceptional communication, project management, collaboration, and influencing skills
  • Experience with CPQ systems, such as SteelBrick or Salesforce CPQ
  • Comfortable traveling 4-8 times per year
  • Intermediate to advanced Excel + Google Sheets skills

Responsibilities

  • Configure Go-to-market systems to maximize their efficiency and adoption throughout the organization
  • Proactively design and implement technical solutions that align with a tool's best practices; optimize existing setup and processes to better support the business
  • Assist and develop sales models, including forecasting, lead scoring, pipeline inspection, headcount planning, and compensation plans
  • Create and maintain complex custom reporting and dashboards, including delivery of key performance metrics
  • Architect seamless integrations between Salesforce and other tools utilized by teams, including Hubspot and Outreach
  • Monitor system usage and triage technical errors as needed
  • Evaluate new technologies and identify opportunities to improve existing systems and processes
  • Improve data quality throughout systems and develop processes to drive improved data quality throughout the customer lifecycle
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