Vidyard is the leading provider of AI-powered video messaging, video hosting, sales prospecting, and buyer engagement solutions for modern revenue teams. Trusted by over 100,000 companies, Vidyard empowers go-to-market teams to connect with buyers in more personal, impactful ways at scale. From prospecting to post-sale, Vidyard helps businesses accelerate deal cycles, increase close rates, and humanize digital communication. With best-in-class AI-generated video tools, real-time engagement analytics, and AI-powered video workflows, Vidyard is redefining how companies grow revenue through video.

ABOUT THE ROLE

Vidyard is seeking a Senior Go-to-Market (GTM) Data Analyst to join our Revenue Operations team. Reporting to the Director, Revenue Operations, you’ll play a key role in elevating how our GTM organization leverages data to drive business strategy and execution.
In this role, you’ll collaborate closely with leaders across Sales, Marketing, Customer Success, Product, and Engineering to provide deep insights, enable self-serve analytics and influence decision-making through data. You will lead efforts to improve data quality, define critical GTM metrics, and build scalable analytics solutions that support planning, performance tracking, and customer lifecycle insights.
We believe this role is perfect for someone who thrives in cross-functional environments, has a bias for action, and can translate ambiguous needs into well-defined data solutions. As part of a company that’s building AI-enabled products, we’re looking for someone who is comfortable using AI tools to enhance their own work and accelerate outcomes. You’ll be part of a culture that values experimentation, continuous learning, and finding smarter ways to solve problems.
This is a remote role open to candidates located in Canada.

WHAT YOU’LL BRING TO THIS ROLE

• 5–7 years of experience in analytics or data roles, with at least 3 years focused on GTM functions (sales, marketing, CS, or RevOps).
• Experience in SaaS, ideally a product-led growth environment.
• Advanced proficiency in SQL and comfort working with cloud data warehouses like Snowflake, Redshift, or BigQuery.
• Deep expertise in BI tools (especially Metabase, Looker) and experience building scalable, modular dashboards.
• Strong understanding of SaaS GTM metrics — CAC, LTV, conversion rates, funnel velocity, retention/churn, NRR, etc.
• Proven ability to translate ambiguous business problems into clear, data-driven frameworks and influence strategic decision-making.
• Experience working with GTM tools such as Salesforce, Hubspot, and Gong.
• Excellent communication and collaboration skills — especially with technical teams in Product and Engineering.
• Ability to collaborate with stakeholders to understand data needs and translate them into scalable backend solutions
• Exposure to agentic AI platforms (e.g., automation co-pilots or AI agents for GTM use cases).
• Comfort navigating ambiguity, with the ability to evaluate when to rely on AI and when human judgment and nuance are needed.
• Familiarity with evaluating AI tool quality and understanding of prompt crafting, AI limitations, and ethical considerations in AI use.