What You’ll Do

• Problem Solving & Experimentation: Partner with stakeholders to define problems, success metrics, and hypotheses. Propose experiments and measure their impact.
• Dashboards & Reporting: Build and maintain Looker dashboards ensuring clarity, usability, and decision support.
• Data Analysis: Analyze process, product, and platform performance (funnels, conversion, pricing effects) to drive improvements.
• Data Management & QA: Specify data requirements, validate quality, and collaborate with DWH teams to maintain accurate marts and metrics.
• AI & ML Support: Prepare datasets, support model evaluation, help productize ML features, and contribute to ML projects.
• Strategic Analytics: Optimize sales strategy, forecast revenue and margin, monitor marketplace balance, and improve operational processes.
• Analytics as a Product: Start with “why,” simplify complexity, and ensure analytics outputs are actionable and reliable.

Example Projects

• Sales Strategy Optimization: Cluster product options to maximize revenue while minimizing claims or delays.
• Performance Monitoring: Track KPIs, trends, and customer feedback; recommend actionable insights.
• Order Distribution: Design strategies to route orders to best-fit partners under multiple constraints.
• Revenue & Margin Forecasting: Build systems to forecast outcomes and automate root-cause analysis of fluctuations.
• Operational Process Improvement: Identify bottlenecks and implement preventive controls to reduce delays and claims.

What We’re Looking For Experience: 3+ years in analytics or data science, ideally in B2B/B2C marketplaces.

Technical Skills

• SQL and Python (strong)
• Dashboarding tools: Looker, Tableau, Qlik, or equivalent
• Git, JIRA, Confluence, or equivalent project management tools
• DWH concepts (data structures, ETL/ELT)
• Applied ML experience is a plus (supervised/unsupervised learning, feature engineering, model evaluation)

Quantitative Skills

• Solid foundations in probability and statistics
• Hands-on experience with statistical analysis and experimentation (A/B testing, hypothesis testing, regression, time-series analysis)

Soft Skills

• Strong business sense and structured thinking
• Clear and concise communication
• Attention to data quality and detail
• Ability to decompose ambiguous questions into actionable deliverables

Languages: English and Russian - fluent (must). German or another European language as a plus.

Work Conditions

• Full-time job. Home office + long term contract
• Salary (fixed in Euros) to be discussed with each candidate.
• Significant bonuses
• Russian-speaking team of distributed data analysts with former employees from Yandex, Sber, Cian, Tinkoff, etc. in a large international company.
• Successful startup (400+ people in Europe) inside a global market leader (1500+ people overall).
• Team spirit and friendly atmosphere: we work in an open, friendly and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone.
• Development opportunities: we are a fast growing company, each new task is an interesting challenge for the team.
• We care: ongoing free of charge well-being activities for our people, charity projects worldwide.
• Flexibility: speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions and remain effective in the face of uncertainty.
• Onboarding: Well structured onboarding plan for new employees combining all in one process, technology, and systems components.

Please apply with an English CV 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.

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