Marketing Data Analyst (LATAM)
Argentina
Xometry
Xometry is a leader in high-precision production part and prototyping manufacturing on demand. Get instant quotes on CNC machining, 3D printing, sheet metal fabrication, laser cutting, and more.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.
Xometry is looking for a Marketing Data Analyst to join our team as we transition our advertising model to pay for performance. In this role, you’ll serve as a critical bridge between Marketing, Sales, Yield and Product teams - translating complex marketing performance data into actionable insights that drive strategy and growth. You’ll work closely with stakeholders across the business to analyze website traffic by acquisition channel, develop attribution models to identify marketing campaign performance, analyze customer conversion and retention, and support optimizing marketing spend across channels. Your work will directly influence how we acquire site traffic, engage prospects, and scale revenue through data-driven decision-making.
Key Responsibilities:
- Develop attribution models and funnel reporting across paid and organic channels to understand lead generation and marketing campaign ROI based on short and long term outcomes
- Build, track, and analyze key marketing metrics like site impressions, clicks, conversions, and return on ad spend to assess the effectiveness of campaigns
- Build and maintain data pipelines in Snowflake that integrate data from Salesforce, Hubspot, Iterable and other key platforms to support lead funnel reporting and analytics
- Collaborate with Sales and Product teams to understand how marketing influences and impacts sales and product strategy
- Support marketing experiments by designing tests, measuring impact, and identifying statistically significant trends
- Translate data insights into strategy to optimize and prioritize marketing spend
Requirements:
- 4-5+ years of experience in marketing analytics or data analysis, preferably in a marketplace, B2B SaaS, or AdTech environment
- Bachelor’s in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering). Master’s degree preferred
- Strong experience with marketing data across platforms like Google Analytics, Salesforce, HubSpot, and Iterable, preferred
- Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines, including experience with Snowflake, DTB, Estuary, Airflow, or similar technologies
- Knowledge of and/or hands on experience analyzing lead funnels, marketing attribution models, and campaign analytics
- Experience working with data visualization tools, specifically Looker
- Strong communication skills with the ability to present insights clearly to both technical and non-technical audiences
- Self-starter mindset with excellent problem-solving skills and attention to detail
Nice to Have:
- Experience with manufacturing suppliers and buyers
- Experience working with data from ad servers and/or ad configuration platforms, such as Kevel or Placements.io
- Experience with Git or other version control systems for managing analytic code
Please submit your resume in English.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Computer Science Data analysis Data pipelines Data visualization Economics Engineering Git HubSpot Looker Mathematics Pipelines Python Salesforce Snowflake SQL Statistics
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