Director of Revenue Strategy and Analytics

Posted about 1 month agoViewed
Canada, United StatesFull-TimeB2B SaaS
Company:Solink
Location:Canada, United States, EST, Atlantic Timezone
Languages:English
Seniority level:Director, 6–10+ years
Experience:6–10+ years
Skills:
LeadershipSQLData AnalysisSalesforceJiraTableauStrategyBusiness OperationsProduct AnalyticsMentoringCross-functional collaborationData modeling
Requirements:
6–10+ years of experience in revenue analytics, business operations, or strategy within a B2B SaaS or high-growth tech company. Advanced skills in data modeling, financial forecasting, and ROI analysis for pipeline and revenue. Strong proficiency in Excel/Google Sheets, SQL, and data visualization tools (Looker, Tableau, PowerBI). Experience with Salesforce, HubSpot, and marketing attribution tools. Deep understanding of GTM funnels, pipeline generation, and conversion metrics. Exceptional analytical rigor and ability to translate data into business decisions. Strong communication skills with ability to present to executives. Must undergo a criminal records check upon hire. Must be a Canadian or American Citizen, or eligible to work in Canada or the United States. Willing to comply with Solink’s own security policies and standards.
Responsibilities:
Lead annual and quarterly revenue planning cycles. Build and refine integrated forecasting models. Translate business strategy into financial and operational plans. Own revenue models and deliver scalable modeling frameworks. Build sensitivity and scenario models. Partner with Finance on long-range planning and unit economics. Identify growth opportunities and optimize conversion around the funnel. Develop frameworks for segmentation, territory design, and capacity planning. Provide actionable insights on the end-to-end funnel. Drive board and exec-level reporting on GTM performance. Lead, mentor, and scale a team of senior analysts. Ensure data governance, accuracy, and accessibility. Partner with RevOps, Marketing, Sales and Finance for unified data. Collaborate with Demand Gen leaders to model campaign outcomes. Streamline GTM processes. Champion data-driven decision-making. Create repeatable modeling frameworks and templates.
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