Senior Revenue Operations Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Revenue Operations Analyst based in Canada.

The Senior Revenue Operations Analyst will serve as a key analytical partner to Marketing, Sales, and Customer Support, turning complex business questions into actionable insights.
This data-focused role combines advanced SQL, reporting, business analysis, and hands-on management of revenue technology systems.
You will connect product, billing, and CRM data to create a reliable view of go-to-market performance and support better business decisions.
Beyond producing reports, you will investigate trends, identify opportunities, and proactively recommend improvements to business leaders.
You will also help modernize operations through automation and AI-enabled workflows while improving data quality and process efficiency.
Working across multiple teams in a remote-first environment, you will have the opportunity to influence scalable processes and contribute directly to business growth.

Accountabilities

Design, build, and maintain reports and dashboards that deliver meaningful insights across Marketing, Sales, and Customer Support.

• Analyze go-to-market (GTM) performance, identify trends, investigate changes in key metrics, and translate complex data into actionable recommendations for business leaders.

• Develop and maintain SQL queries and spreadsheet models supporting commission tracking, pipeline analysis, forecasting, capacity planning, and CRM data reconciliation.

• Extract, integrate, and connect data from the GTM technology stack, including Databricks, HubSpot, Zendesk, and Gong, to provide a reliable, unified view of business performance.

• Work directly within relevant systems to configure, troubleshoot, and maintain data accuracy and consistency.

• Identify opportunities to improve operational efficiency through automation and AI, and support broader GTM adoption of new capabilities.

• Lead cross-functional Revenue Operations initiatives, including CRM enhancements, reporting improvements, process redesign, and system implementations.

• Develop and maintain clear documentation, standard operating procedures, and knowledge resources that support consistency and scalability.

• Partner with Marketing, Sales, Customer Support, and leadership to strengthen data quality, streamline workflows, and enable informed decision-making.

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, preferably in a SaaS or high-growth environment.

• Strong practical SQL skills, including multi-table joins, common table expressions (CTEs), window functions, and validating query results against source systems.

• Experience independently managing projects involving multiple business systems with minimal supervision.

• Strong analytical and problem-solving abilities, including the capacity to investigate ambiguous business questions and develop data-driven solutions.

• Working knowledge of CRM data structures, including objects, associations, and lifecycle stages. HubSpot experience is a strong asset; familiarity with Zendesk and Gong is an advantage.

• 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 operational workflows.

• Excellent communication skills, with the ability to explain technical concepts and analytical findings to stakeholders with different levels of technical expertise.

• A continuous improvement mindset, strong attention to detail, and an interest in developing scalable processes.

• Post-secondary education in Business, Analytics, or a related discipline, or equivalent practical experience.

Additional assets:

• Experience with cloud data warehouses such as Databricks, Snowflake, or BigQuery, and/or business intelligence tools such as Looker, Tableau, or Power BI.

• Python experience for data-related work.

• Experience developing lead scoring models, lifecycle management processes, or marketing attribution reporting.

• HubSpot certifications or substantial CRM administration experience.

• Experience designing and implementing AI-enabled operational workflows that improve team efficiency.

• A strong interest in automation, documentation, and operational excellence.

Benefits

• Competitive compensation: Annual salary range of CAD $92,000–$118,000.

• Fully remote work: Flexibility and autonomy to work from the location where you are most productive, within Canada.

• Professional development: Opportunities to build skills, take on new experiences, and pursue career growth.

• Meaningful impact: Direct contribution to business growth and improvements across Revenue Operations.

• Collaborative environment: Work with colleagues across Marketing, Sales, Customer Support, and leadership.

• Innovation and experimentation: An environment that encourages new ideas, continuous improvement, and responsible use of AI.

• Inclusive workplace: A commitment to welcoming people from diverse backgrounds, experiences, identities, and perspectives.

• Accessible recruitment: Virtual interviews and accommodations available throughout the hiring process upon request.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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