Senior Data Analyst Job at Cherry Ventures (Buenos Aires)

Job Description

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. We are looking for a strategic, highly analytical Senior Data Analyst to join our team as we transition our advertising model to a pay-for-performance structure. In this dual-impact role, you will serve as the critical bridge between Marketing, Sales, Yield, and Product teams. You will be responsible for the full lifecycle of advertising data—from tracking how we acquire site traffic to optimizing how we monetize that traffic. Your work will directly influence our marketing spend, pricing strategies, and inventory management to maximize overall revenue and growth.

Job Responsibility

Develop sophisticated attribution models and funnel reporting across paid and organic channels to determine ROI based on both short- and long-term outcomes
Build and maintain campaign management data and reporting to improve monetization effectiveness and ad performance
Build and maintain robust data models Snowflake (using dbt, Airflow, or similar) that integrate data from Segment, Salesforce, HubSpot, Iterable, and ad servers
Analyze website traffic, customer conversion/retention, and inventory supply/demand to provide actionable insights for leadership
Analyze and support experiments and A/B tests for product, marketing campaigns and yield strategies, measuring impact and identifying statistically significant trends
Create and manage comprehensive Looker dashboards that align marketing performance with revenue forecasting and inventory health

Requirements

5+ years of experience with a proven track record of driving strategy in a marketplace, paid marketing, B2B SaaS, or AdTech environment
Bachelor’s degree in a quantitative field (Statistics, Economics, Math, CS, Engineering). Master’s degree preferred
Expert-level SQL and Python
hands-on experience with Snowflake and dbt (or similar data stack)
Proficiency in Looker for data visualization
Knowledge of lead funnels, marketing attribution, and ROAS
Experience with ad servers and configuration platforms (e.g., Kevel, Placements.io)
Familiarity with event tracking (Segment, Google Analytics) and CRM data (Salesforce, HubSpot)
Exceptional communication skills with the ability to translate complex data into a narrative for non-technical stakeholders
a self-starter mindset with high attention to detail. Comfort with ambiguity, complexity, and identifying the best path forward with light guidance

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Senior Data Analyst

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