Product Data Analyst at Xometry

, , Serbia -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, A/B Testing, Data Analysis, Looker, Google Analytics, Data Quality, Statistical Analysis, Regression Analysis, Time-Series Analysis, Business Sense, Clear Communication, Structured Thinking, Attention to Detail, Product Analytics, Experiment Design

Industry

Software Development

Description

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. About the Role We are looking for a Product Analyst to be embedded in one of our product squads. You will be responsible for the analytical support helping to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. Your work will involve deep analysis of user behavior, end-to-end analytics, planning and analysis of A/B tests, and close collaboration with Product Managers to make data-driven decisions. A key focus will be on optimizing pricing strategies and finding product growth opportunities. Works end-to-end: clarifies the problem, shapes metrics, partners with DWH, builds usable tools, and supports adoption. Operates cross-region. Tech Stack Analytics/DWH: SQL, Python, SnowFlake, AirFlow, Looker, Amplitude, GoogleAnalytics, GoogleSheets, DataHub, Git. Project/Process management: JIRA, Miro, Figma Responsibilities Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business. Deep understanding of A/B testing and the end-to-end product hypothesis pipeline (from ideation to analysis and implementation). Build & maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support. Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin. Data requirements & QA: specify data needs, validate data quality, and collaborate with DWH on marts and metrics. Required ways of working: start with “why,” simplify, and treat analytics as a product. Examples of problems to be solved: Feature A/B testing & CRO: Formulate hypotheses for new product features, design experiments (A/B, MVT), analyze results, and provide recommendations to improve user conversion and engagement. Pricing & Monetization analysis: Design and analyze A/B tests for different pricing models and strategies to maximize revenue. Product performance monitoring/insights: track lifecycle KPIs, trends, and customer feedback; recommend actions. 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. Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field. Track record of curiosity and self-directed development in adjacent disciplines—product, UX, human behavior/psychology—is a very strong plus. Qualification and experience Experience: 3+ years in product analytics (ideally B2B/B2C marketplaces). Tech: strong SQL, Python; BI (Looker/Tableau/Qlik/etc.); Git/JIRA/Confluence or equivalents. Quantitative: solid foundations in probability and statistics; hands-on with statistical analysis and experimentation (hypothesis testing, A/B testing design, power analysis), regression and time-series analysis. Plus: applied ML exposure (supervised/unsupervised, feature engineering, model evaluation & cross-validation); DWH concepts (design, data structures, ETL/ELT). Soft skills: business sense, clear communication, structured thinking, attention to data quality; can decompose ambiguous asks into deliverables. Languages Russian — fluent (must) English — fluent (must) • Strong communication in both; German/other EU language — 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 #LI-Remote 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. Please read our privacy policy here.

Responsibilities

The Product Data Analyst will provide analytical support to grow Xometry's customer-facing and partner-facing marketplace platforms. Responsibilities include analyzing user behavior, conducting A/B tests, and collaborating with Product Managers to optimize pricing strategies and identify product growth opportunities.