Jobs · Sales

GTM Analyst

Uscreen · United States · 2 wk ago
RemoteRemoteSalesFull-time

About the role

The Role At Uscreen, we help creators build something that lasts, powering independent video businesses to build sustainable revenue and scale their impact. We're a fast-growing SaaS company, and our all-in-one video membership platform helps creators generate revenue through subscriptions, communities, courses, and live-streamed events across web, mobile, and TV apps. We're hiring a GTM Analyst to turn our go-to-market data into something Sales and Marketing actually trust and use. Our GTM stack has more connected data than it's ever had: CRM and marketing systems all talking to each other, dynamic lead-scoring models, and inbound and outbound motions aligned with campaigns and touch points. This role is where all of that starts paying off, turning funnel data that used to live in five different spreadsheets into dashboards and insight that drive decisions. This is a hands-on analyst role with real ownership from day one. You'll own the reporting layer for the funnel, run down the data-quality issues that quietly break it, and be the fast, reliable answer for the everyday questions GTM teams have about their numbers. You'll work closely with Analytics and RevOps leadership, who set the strategic direction and are there for the bigger, more ambiguous asks. You'll do it inside an AI-native team. We treat AI as a core part of how we work: getting to answers faster, automating what shouldn't take a human, and freeing up time for the thinking that matters.

Responsibilities

  • Build the dashboards people actually open.
  • Build and maintain the reports and dashboards that give Sales and Marketing one shared, accurate view of the funnel.
  • Own the day-to-day maintenance and iteration of existing GTM reporting as source data, targets, and motions change.
  • Help measure the impact of campaigns, experiments, and GTM initiatives so leaders know where to double down.
  • Chase down the "why" behind the numbers.
  • Turn open-ended questions into testable hypotheses, dig into the data, and figure out what's actually driving a win-rate shift, a pipeline velocity change, or a campaign's performance.
  • Come back with a recommendation, not just a chart.
  • Integrate data from CRM and marketing systems into cross-functional analyses.
  • Own data hygiene, not just dashboards.
  • Audit CRM fields, lead-routing rules, and scoring logic for drift or gaming, and fix the root cause rather than the symptom.

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