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
• Serve as the escalation point and liaison across Product, Marketing, Data Engineering, and Finance to resolve data discrepancies, align on definitions, and ensure a single source of truth across systems
• Lead or significantly contribute to cross-functional data cleansing and data quality initiatives, including diagnosing root causes upstream in the CRM and data pipeline
• Represent analytics in planning cycles (annual quota setting, territory design, comp plan discussions), advising on trade-offs with data-backed recommendations

What You'll Bring to Xometry:

• 5+ years of experience in Sales/Revenue Operations, Business Analytics, or a related analytics function, with a strong focus on sales analytics, forecasting, or GTM strategy
• Advanced proficiency in SQL (complex joins, window functions, query optimization) and hands-on expertise in Looker and LookML, including data modeling and semantic layer design (not Looker Studio)
• Advanced Excel/Sheets skills for modeling — able to build and audit complex, multi-scenario financial and quota models from scratch
• Deep familiarity with CRM systems (e.g., Salesforce) and a strong working knowledge of how sales data flows, breaks, and gets misreported across systems
• Demonstrated track record of advising and influencing senior (VP/C-level) stakeholders using data — including pushing back constructively when the data tells a different story than leadership expects
• Exceptional storytelling and executive communication skills; able to distill complex, multi-variable analysis into a clear narrative and recommendation for non-technical audiences
• Strong statistical literacy — trend analysis, forecasting methods, and cohort analysis — with the judgment to know which technique fits which business question
• Proven ability to independently source, assess, and prioritize data and competing asks in a fast-moving, ambiguous environment with shifting requirements
• Experience owning an analytics roadmap or reporting infrastructure end-to-end, including making build-vs-deprecate decisions
• Experience reviewing or mentoring the work of other analysts

Nice to Have:

• Experience with dbt or a similar data transformation/modeling tool
• Working knowledge of Python or R for statistical modeling beyond what Excel/SQL can support
• Direct experience with sales quota design or compensation plan design
• Experience presenting directly to executive leadership or a board
• Experience partnering with Finance on revenue forecasting or annual planning cycles
• Prior experience managing or dotted-line mentoring junior analysts

#LI-Hybrid