product analyst for a digital marketplace

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.

• 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

• 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

Будет плюсом:

• 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