OpenEd

Revenue Operations

• Attend key planning, QBR, and operational meetings across Marketing, Customer Success, and Support as a standing participant.
• Bring data and operational intelligence into conversations proactively rather than waiting to be asked.
• Own reporting across the full customer lifecycle.
• Build and maintain self-serve dashboards in HubSpot and Metabase that give every stakeholder a clear, accurate view of the metrics that matter most to their team and to the business.
• Model team workload against volume trends, seasonality, and staffing levels to give leadership a forward-looking view of where demand is heading and where SLA risk or churn exposure may be building.
• Serve as the business-side liaison to the Systems team.
• Translate operational goals and gaps into clear, well-scoped technical requirements, QA workflow and automation changes before they ship, and identify configuration errors before they affect performance.
• Evaluate how each team operates against how the technology supports them.
• Identify where processes break down, where tools are underutilized, and where changes to HubSpot workflows, lifecycle stages, or automation logic would meaningfully improve outcomes.
• Design and run structured experiments across campaigns, audiences, and channels.
• Document what moves the needle and apply those learnings systematically.

RevOps Analyst

Business Intelligence Analyst

• Dashboard and Report Development — Build and maintain trusted, self-serve dashboards in Metabase that serve the full GTM organization. Every dashboard you build should answer a specific business question, reduce dependence on ad-hoc requests, and be legible to a non-technical stakeholder without a walkthrough.
• SQL and Data Modeling — Write clean, well-documented SQL against Snowflake to extract, transform, and validate data for reporting. Translate business logic from RevOps into queries and data structures that produce accurate, repeatable outputs. Where dbt models exist or need to be created, partner with the Data Engineering team to ensure the right foundations are in place.
• KPI Definition and Metric Governance — Partner with the RevOps Analyst to define, document, and standardize the GTM metrics that matter most across marketing, retention, support, and revenue. Own the source of truth for how those metrics are calculated and ensure consistency across dashboards and reports.
• Insight Communication — Go beyond the chart. When a dashboard surfaces something unexpected, a trend worth investigating, or a signal that leadership should act on, your job is to name it clearly and frame the implications. Reporting without interpretation is noise. Your contribution is turning data into a point of view.
• Cross-functional Data Partnership — Work closely with the RevOps Analyst to understand what business questions each team is trying to answer, prioritize the reporting roadmap accordingly, and deliver outputs that are both technically accurate and genuinely useful to the people receiving them.
• Data Quality and Validation — Take ownership of the accuracy of your outputs. Before any dashboard or report is shared, you verify it. When numbers look off, you investigate. When something is wrong upstream, you surface it clearly to the right person rather than publishing results you cannot stand behind.
• Success Metrics: The quality of your work is measured by whether it gets used, trusted, and acted on. Specific indicators include the adoption rate of self-serve dashboards across the GTM organization, the reduction in ad-hoc reporting requests over time, the accuracy and consistency of KPI definitions across reporting surfaces, and the speed at which the RevOps team and business leaders can get to a credible answer when a question arises. The ultimate measure is whether the people you serve feel more informed and more confident in their decisions because of the work you produce.

RevOps Analyst

GTM Reporting Analyst