About the job
About FacilityOS
FacilityOS stands at the forefront of innovation as a leading B2B SaaS company located in the bustling tech hub of Toronto. Our commitment to excellence drives us to provide an industry-leading platform that enhances safety, security, compliance, and operational efficiency across various essential facility touchpoints. Our team is composed of passionate professionals dedicated to transforming the industry landscape.
We prioritize a collaborative and innovative work environment, where every team member's contributions are valued. Employee engagement is a cornerstone of our culture, fostering open communication and the exchange of ideas.
About The Role:
We are seeking a Revenue Operations Analyst to contribute to our state-of-the-art revenue engine centered on accurate data, intelligent automation, and integrated systems.
In this role, you will manage and optimize our go-to-market (GTM) systems that support our Sales, Marketing, and Customer Success teams, focusing on tech stack administration, reporting, and maintaining data integrity to ensure scalability, efficiency, and actionable insights.
You will report to the Senior Manager of Revenue Operations and collaborate closely with various teams across GTM, Enablement, and Data, bridging the gap between business processes and the systems that underpin them.
Key Responsibilities:
Salesforce & GTM System Administration:
Oversee daily administration of Salesforce, including user support, field updates, basic automations, page layouts, and dashboard management.
Process and manage ad hoc system updates across Accounts, Opportunities, Quotes, Contracts, Leads, Campaigns, and other related objects.
Ensure alignment between Salesforce and connected systems (HubSpot, Gainsight, Gong, Salesloft, Pendo, etc.) to accurately reflect the customer lifecycle.
Assist in documenting system configurations, processes, and data definitions clearly.
Data Integrity & Reporting:
Uphold high standards of data hygiene and governance across all GTM systems, ensuring accuracy and consistency.
Monitor and proactively address data quality issues, identifying gaps, inconsistencies, or breakdowns in processes.
Develop and maintain comprehensive reports to provide insights and drive decision-making.

