How You’ll Contribute
Paid Marketing Analytics
Own end-to-end analytics for paid channels: Google Ads, Microsoft Ads, and any emerging paid media — from impression to revenue attribution
Build and maintain attribution models and funnel reporting across paid and organic channels to measure true ROAS, CAC, and long-term LTV outcomes
Monitor campaign pacing, budget utilization, and performance against targets; surface anomalies and recommend actions in real time
Insights & Storytelling
Transform raw marketing data into clear, executive-ready narratives — not just "what happened," but "why it happened" and "what we should do"
Develop weekly, monthly, and quarterly performance recaps for leadership that drive decisions, not just inform them
Proactively identify trends, risks, and opportunities across marketing channels and synthesize them into a point of view — with a recommendation
Partner with the marketing and sales teams to answer the "so what" behind every metric
Analytics Engineering
Build and maintain robust data models in Snowflake (SQL, dbt, or similar) integrating data from Google Ads, Microsoft Ads, Segment, Salesforce, Iterable, and ad servers
Manage and improve reverse-ETL pipelines that feed performance data back into operational tools (Google Ads API, campaign management platforms)
Create and own Looker dashboards aligned to marketing KPIs, campaign health, and revenue forecasting
Testing & Experimentation
Design and analyze A/B tests for paid campaigns, landing pages, and yield strategies; translate statistical results into plain-language recommendations
Support channel-level experiments: bid strategies, audience segmentation, creative performance
What You'll Bring to Xometry
Experience
5+ years in marketing analytics, growth analytics, or a closely related field — ideally in a marketplace, B2B SaaS, AdTech, or lead-gen environment
Demonstrated experience owning paid marketing analytics (Google Ads, Microsoft Ads, Meta); you understand how the platforms work, not just how to report on them
Track record of producing analysis that changed a decision — and you can tell that story in an interview
Technical Skills
Expert-level SQL; strong Python for data manipulation and analysis
Hands-on with Snowflake and dbt (or equivalent modern data stack)
Proficient in Looker (or Tableau/similar) — you build dashboards that people actually use
Familiarity with Google Ads API, Microsoft Ads API, Segment event tracking, and CRM data (Salesforce, HubSpot)
Bonus: experience with ad servers or yield platforms (Kevel, Placements.io)
Communication & Storytelling
Exceptional written and verbal communication — you write crisp, jargon-free analyses that a CMO would forward to a CEO
Ability to structure ambiguous problems, frame a hypothesis, and present findings with confidence and a point of view
Comfort presenting to senior stakeholders; you don't hide behind the data, you use it to make an argument
Domain Knowledge
Deep understanding of paid marketing KPIs: ROAS, CPC, CPL, impression share, quality score, attribution windows
Familiarity with marketing attribution methodologies (last-click, data-driven, multi-touch)
Understanding of lead funnels from impression through conversion and renewal
#LI-Remote
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
