Data Analyst (Supply Domain)

About the Role

We are looking for a talented Data Analyst embedded in the Supply domain. You will deliver analyses, experiments, and dashboards that drive measurable outcomes across regions. This is an end-to-end role: you will clarify business problems, define success metrics, partner with our Data Warehouse, build actionable tools, and support adoption across the organization.

You’ll work closely with cross-functional teams, helping shape strategies, optimize processes, and inform critical decisions. Your work will directly impact revenue, margin, operational efficiency, and customer satisfaction.

What You’ll Do

• Partner with stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact.
• Build & maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support.
• Analyze process/product/platform performance (funnels, conversion, pricing effects) to improve revenue, margin, and quality.
• Data requirements & QA: specify data needs, validate data quality, and collaborate with DWH on marts and metrics.
• AI support: prepare datasets, support model evaluation, and help productize ML features; may contribute to ML projects.
• Required ways of working: start with “why,” simplify, and treat analytics as a product. 

Domain specific:

• Analytics: Track and analyze partner performance (capacity, claims, delay, fulfilment) to identify gaps and improve reliability and efficiency.
• Partner Network Optimization: Design and monitor strategies for partner allocation, expansion, and order routing to balance supply and demand.
• Forecasting: Build and maintain models to forecast partner capacity, fulfilment performance, and supply-related KPIs.
• Operational Insights: Analyze process and lifecycle data to detect bottlenecks, improve throughput, and reduce costs or delays.
• Dashboards & Data Products: Develop and maintain clear, actionable dashboards in Looker; ensure data quality and stakeholder adoption.
• Experimentation & ML Support: Run A/B tests on operational changes; prepare datasets and support predictive models for supply optimization.

Examples of problems to be solved:

• Sales strategy optimization: cluster product options to maximize revenue/margin while mitigating claims/delays.
• Product/Process performance monitoring/insights: track lifecycle KPIs, trends, and customer feedback; recommend actions.
• Optimal order distribution: design strategies to route orders to best‑fit partners under multiple constraints.
• Marketplace balance: identify capability gaps and guide Partner Network expansion to match demand.
• Revenue/Margin forecasting: design/develop cross‑domain systems to forecast month/quarter/year outcomes and adjust strategy/tactics to hit critical KPIs; automate root‑cause analysis of forecast fluctuations and improve forecast quality.
• Operational process optimization: find bottlenecks and implement preventive controls to reduce delays/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. 
• 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
  
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