About
Xometry connects people with ideas to manufacturers through a digital marketplace. Its marketplace gives manufacturers resources to grow their businesses and enables buyers at Fortune 1000 companies to access global manufacturing capacity.
Responsibilities
•Define problems, success metrics, and hypotheses with Product Managers and stakeholders; propose experiments and measure their business impact
•Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation
•Formulate hypotheses for new product features, design A/B experiments, analyze results, and recommend improvements to user conversion and engagement
•Design and analyze A/B tests for pricing models and strategies to maximize revenue while balancing conversion rates and bookings
•Build and maintain Looker dashboards, ensuring data correctness, clarity, usability, and decision support
•Analyze product funnels, user behavior, and platform performance—including activation, conversion, retention, and pricing effects—to drive product growth, revenue, and margin
•Track lifecycle KPIs, trends, and customer feedback, and recommend actions
•Conduct in-depth product analysis and uncover insights not covered by self-service analytics
•Specify data needs, validate data quality, and collaborate with DWH on marts and metrics
•Treat analytics as a product by clarifying the "why," simplifying solutions, and supporting usability and adoption
Requirements
•Bachelor's or Master's degree in Data Science, Computer Science, IT, Engineering, or a related field
•3+ years of experience in product analytics, ideally within B2B/B2C marketplaces
•Strong SQL and Python skills
•Experience with BI tools such as Looker, Tableau, Qlik, or similar
•Familiarity with Git, JIRA, Confluence, or equivalents
•Solid foundations in probability and statistics
•Hands-on experience with statistical analysis and experimentation, including hypothesis testing, A/B test design, and power analysis
•Experience with regression and time-series analysis
•Strong business sense, clear communication, structured thinking, and attention to data quality
•Ability to decompose ambiguous requests into deliverables
•Track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology
•Fluent English with strong communication skills
Nice to have
•Understanding of DWH concepts (design, data structures, ETL/ELT)
•Applied experience with Statsig or another A/B testing platform
•Russian, German or another EU language
