Senior Revenue Operations Analyst
New
J
JobgetherRevenue Operations
Within CanadaFull-TimeSenior
Salary92,000 - 118,000 CAD per year
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Job Details
- Experience
- At least 4 years of experience in Revenue Operations, Sales Operations, Marketing Operations, or a data or business analyst role supporting go-to-market teams
- Required Skills
- SQLMicrosoft ExcelHubSpotGoogle SheetsZendeskDatabricks
Requirements
- At least 4 years of experience in Revenue Operations, Sales Operations, Marketing Operations, or a data or business analyst role supporting go-to-market teams.
- Strong practical SQL skills, including multi-table joins, common table expressions (CTEs), and window functions.
- Ability to validate query results against source systems.
- Experience independently managing projects involving multiple business systems with minimal supervision.
- Working knowledge of CRM data structures, including objects, associations, and lifecycle stages.
- Advanced working skills in Google Sheets or Microsoft Excel for modeling, analysis, and data reconciliation.
- Comfort using AI tools such as ChatGPT, Claude, or embedded platform AI to improve productivity and workflows.
- Post-secondary education in Business, Analytics, or a related discipline, or equivalent practical experience.
- Strong analytical and problem-solving abilities, including investigating ambiguous business questions and developing data-driven solutions.
- Ability to explain technical concepts and analytical findings to stakeholders with different levels of technical expertise.
Responsibilities
- Design, build, and maintain reports and dashboards for Marketing, Sales, and Customer Support.
- Analyze go-to-market performance, investigate metric changes, and recommend actions to business leaders.
- Develop and maintain SQL queries and spreadsheet models for commission tracking, pipeline analysis, forecasting, capacity planning, and CRM data reconciliation.
- Extract and integrate data from Databricks, HubSpot, Zendesk, and Gong to provide a unified view of business performance.
- Configure, troubleshoot, and maintain relevant systems and data accuracy.
- Identify opportunities for automation and AI-enabled workflows and support adoption across go-to-market teams.
- Lead cross-functional initiatives involving CRM enhancements, reporting improvements, process redesign, and system implementations.
- Create and maintain documentation, standard operating procedures, and knowledge resources.
- Partner with Marketing, Sales, Customer Support, and leadership to improve data quality and workflows.
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