Sales Operations Analyst

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Thomas, a Xometry company, is the leading platform for industrial sourcing and digital marketing. We help manufacturers grow their businesses through high-impact digital advertising, SEO, and content marketing services. This role is critical to maintaining the data integrity and lead flow that keeps our Sales and Marketing engines running at scale.

We're looking for a seasoned analytics leader to serve as a strategic partner to Sales leadership and the broader executive team, turning complex, ambiguous data into the insight that drives revenue decisions. In this role, you'll own the Sales analytics function end-to-end — architecting the dashboard and data ecosystem, building the quota and forecasting models the business runs on, and setting the standards other analysts follow. You'll operate with significant autonomy, work directly with VP- and C-level stakeholders, and be trusted to define what "the right metric" even is when the business question is still fuzzy. This is a high-visibility, high-ownership role for someone who pairs deep technical fluency with sharp business judgment and the gravitas to influence senior decision-makers.

How You'll Contribute:

• Act as the primary analytics partner to Sales leadership and senior executives — proactively defining key metrics, surfacing strategic insights, and shaping decisions on quota, territory, headcount, and pipeline strategy
• Independently translate ambiguous, open-ended business questions into structured analyses; identify the right question to ask when leadership hasn't fully defined it themselves
• Own the architecture, roadmap, and governance of Sales dashboards and reporting infrastructure — not just maintenance, but decisions on what gets built, deprecated, or redesigned as the business scales
• Design and continuously refine sales performance and quota models, incorporating historical trends, pipeline data, seasonality, and rep-level variance to drive quota setting, attainment tracking, and revenue forecasting at the leadership and board level
• Build and evolve forecasting methodology, bringing statistical rigor (trend analysis, cohort analysis, scenario/sensitivity modeling) to what has historically been a more manual or gut-driven process
• Set reporting standards and analytic best practices across the Sales analytics function; review and improve the work of other analysts, and mentor junior team members on technique, tooling, and stakeholder management
• Proactively identify risks, anomalies, and opportunities in the data — surfacing them to leadership before they're asked for, not just answering the questions in front of you