Full-Time GTM Analytics Engineer

• Build and maintain GTM data pipelines: Own ingestion, transformation, and syncing of CRM data (HubSpot), product-usage telemetry, billing data, and third-party enrichment data in Redshift to support GTM analytics workstreams.
• Develop core GTM & revenue data models: Improve operational efficiency through standardization of datasets for Sales, GTM Ops, Finance, and the executive team, while establishing common metric definitions across revenue, customer segments, and more.
• Ship dashboards, alerts, and decision-making tools: Improve telemetry into business performance by building dashboards to track things like sales funnel performance and pipeline quality. Better inform GTM leadership through automation of weekly/monthly reporting and establishing a revenue forecast.
• Investigate trends and build models to support sales. Accelerate sales effectiveness through implementation of alerting for critical events (e.g. pipeline drops, usage contractions, stuck deals, missed lifecycle transitions), conducting key analyses (e.g. pipeline velocity, win rates, segmentation performance), and development of GTM models (e.g. ICP scoring, account prioritization, churn risk).
• Own the GTM analytics roadmap: Work with GTM leadership to maintain a backlog of GTM analytics engineering work. Proactively identify the next set of capabilities the GTM org needs (forecasting, routing logic, new usage signals, etc).

• You have exceptional analytical skills: You've made a career in working with data to improve products and overall business operations.
• You know the tech stack: You write efficient SQL queries to analyze large datasets and can work with complex schemas. You're an expert with data visualization tools like Tableau, QuickSight, or Power BI. Familiarity with cloud environments (AWS, Azure, GCP).
• You create and execute your own work: You notice patterns others miss and dig deep to understand root causes.

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