Data Analyst

  • Remote - Kazakhstan

Remote

Data

Mid-level

Job 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.

We are growing and expanding our team of Data Analysts. Therefore, we are looking for a Data Analyst to strengthen one of our data analytics Domain teams in supporting their stakeholders in data-driven decision-making and business process optimisation.

This position is a full-time job and involves actively creating and sharing of data related knowledge, providing BI tools to stakeholders and analytics to management.

The platform – https://xometry.eu

We are developing an AI-powered, on-demand manufacturing platform, similar to Uber but tailored for the manufacturing industry. Our platform encompasses an ERP/back-office, customer interface, and partner interface, all built in-house using a robust technology stack: Ruby on Rails with PostgreSQL, TypeScript, React, and GraphQL, Python modules and integrations with third-party solutions via APIs

Data analytics stack is based on Snowflake / Airflow / Looker.

Currently, the European data analysis team has 10 people, while the whole IT team is 50+ people. We serve all non-US business operations with more than 200+ employees and thousands of orders monthly.

Responsibilities:

  • Drive business development and process optimization by delivering data-driven insights, crafting optimization proposals, setting up experiments, and evaluating results across one of three key analytics domains:

    1. Sales/Marketing: Enhancing sales through the e-commerce platform and B2B sales processes.
    2. Supply: Optimizing supplier networks and order distribution.
    3. Operations and Finance: Improving order fulfilment and accounting efficiency.
  • Support strategic and tactical decision-making through extensive data analysis.

  • Build and maintain interactive dashboards using the Looker BI platform. Train and encourage teams to adopt data-driven approaches to process management.

  • Analyse product metrics to enhance platform performance and profitability.

  • Collaborate with the data warehouse team to ensure access to required data for dashboard development and research. Contribute to defining key metrics, related tables, and calculations.

  • Participate in AI initiatives to improve the company’s operational performance.

Ideal Candidate Profile:

  • Educational Background: A technical mindset with at least a Bachelor’s degree in Applied Mathematics, Computer Science, or a related field. Strong mathematical foundation and basic understanding of statistical methods.

  • Experience:

    • 3+ years as an analyst or data scientist, preferably in B2B/B2C marketplaces.
    • Proficient in SQL and Python for data processing and analysis (mandatory).
    • Proven ability to develop dashboards for solving business challenges (experience with Looker, Tableau, Qlik, or similar tools is highly valued).
  • Skills:

    • Strong business and product acumen, including understanding unit economics, user behavior analysis, and insight presentation.
    • Critical thinking skills to break down complex or abstract requirements into actionable components.
    • Self-starter with the ability to work independently and collaborate effectively in a team, both as a leader and contributor.
    • Comfortable in a fast-paced startup setting with evolving priorities.

Languages:

  1. English (B2+): Required for approximately 70% of customer communication.
  2. Russian (B2+): Required for internal communication within a Russian-speaking team.
  3. German or another European language: A plus.

Examples of problems to be solved:

  1. Operational Processes Optimization: Our sales depend on customer satisfaction, which depends on on-time supply production with no claims. It consequently depends on operational processes. Task: Identify bottlenecks and critical success factors in operational business processes and design a system of preventive controls to avoid customer claims/delays.
  2. Optimal order distribution. Each received order needs to be outsourced ASAP to the best-fit production partner. Task: Increase platform efficiency by design and implementation of optimal order distribution-to-the-Production partners strategies, balancing various efficiency criteria.
  3. Marketplace balance. Balance of Demand (customer orders requests) and Supply (availability of production partners with proper technological capabilities) are constantly changing. It requires us to proactively identify lacking production competences and expand the Production Partners Network. Task: Support partner network management team focusing their efforts to efficiently keep balance state.
  4. Sales strategy optimization. Our main product are Machined Parts-on-demand. is offered with different options (technologies, materials, post-processing options etc). Seems like these variants differently affect invoiced revenue and margin, claims rate, orders delays. Tasks: Formulate and constantly update optimal sales and pricing strategy and critical success factors aimed to maximize revenue and mitigate claims risks and income loss based on clustering of offered products from the historical perspective; Monitor product performance. As a product analyst, you’ll monitor the performance of products over their lifecycle. You’ll identify patterns and trends that indicate how well a product performs on the market, and subsequently monitor sales numbers and gather customer feedback data to gauge performance.

Work conditions

  • Full-time job. Home office + long term contract as an Individual Entrepreneur
  • 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 (200+ people in Europe) inside a global market leader (1000+ 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.

#LI-Remote

Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness and providing a positive workplace for all.

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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