Datacor - Senior Revenue Operations Specialist
Requirements
• 4-7 years of experience in an analytical role • Proficiency in administering and implementing Sales Tools including: • Lead routing tools such as LeanData or RingLead • Sales enablement platforms such as Salesloft or Outreach • Marketing automation tools such as Marketo or Hubspot • Compensation administration software like CaptivateIQ or Quota Path • In-depth knowledge of Salesforce architecture, data model and platform capabilities and the ability to successfully 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 • Ability to influence, lead, and build strong stakeholder relationships with direct and cross functional business partners to successfully complete deliverables on time • Self-driven with the ability to navigate and prioritize work through ambiguous situations, shifting demands, and change • Intermediate to advanced Excel + Google Sheets skills with the ability to transform data into meaningful insights • Experience with CPQ systems, such as SteelBrick or Salesforce CPQ
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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