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Senior Analyst - Data Science at METRO Global Solution Center sp. z o.o.

Stanowisko Senior Analyst - Data Science
Opublikowano 28 Feb 2026
Wygasło 30 Mar 2026
Firma METRO Global Solution Center sp. z o.o.
Lokalizacja Mazowieckie | PL
Rodzaj umowy Full Time

Opis stanowiska:

Najnowsze informacje o pracy w METRO Global Solution Center sp. z o.o. na stanowisko Senior Analyst - Data Science. If the Senior Analyst - Data Science wolny etat w Mazowieckie odpowiada Twoim kwalifikacjom, prześlij swoje aktualne CV bezpośrednio przez portal Jobkos.

Pamiętaj, że proces rekrutacji wymaga spełnienia określonych wymogów firmy. Mamy nadzieję, że oferta pracy w METRO Global Solution Center sp. z o.o. na stanowisko Senior Analyst - Data Science poniżej odpowiada Twoim kwalifikacjom.

Senior Analyst - Data ScienceMiejsce pracy: WarszawaTechnologies we useOperating system
  • Windows
About the project

We are seeking a Senior Analyst - Data Science / engineer or Senior Data Analyst with 5+ years of experience in advanced analytics, machine learning, and AI-driven solutions, with a strong focus on Indirect Procurement, Warehouse Management Systems, and GenAI-powered sourcing intelligence.

The role is responsible for designing scalable analytics and AI solutions that support procurement transformation, sourcing optimization, supplier intelligence, and warehouse performance monitoring at a global scale.

Your responsibilities

Data Science, Analytics & KPIs

Design, build, and maintain stakeholder-specific BI dashboards and analytical reports for procurement, sourcing, and warehouse KPIs.

Define, develop, and evolve business-aligned KPIs supporting ML-driven products and procurement transformation initiatives.

Perform exploratory and advanced data analysis to identify trends, root causes, and improvement opportunities.

Identify and support resolution of data quality issues (ETL – Extract Transform Load) to ensure accurate, consistent, and reliable analytics.

Analyze the datasets from different systems to develop Indirect Procurement Spend cube

Data Engineering & Data Lake Enablement

Extract, integrate, and transform data from Finance systems, Warehouse Management Systems (SAP EWM / WM and similar platforms) to provide insights for supplier negotiations.

Design and support scalable data pipelines using batch, CDC, API-based, and streaming ingestion mechanisms.

Ensure data reconciliation, validation, and standardization across inbound, outbound, inventory, and exception datasets.

Build and maintain feature-ready datasets in enterprise Dana data lakes to support analytics, ML, and AI models.

Enable near-real-time analytics for warehouse performance, sourcing activities, and supplier monitoring.

GenAI & LLMs for Sourcing Intelligence

Design and deploy Generative AI solutions (Gemini, Claude, OpenAI) to support:

Supplier discovery and evaluation

Creation of Taxonomy and Categorization

Sourcing strategy development

Market and category intelligence

Apply Large Language Models (LLMs) to analyze:

RFQs, RFPs, and tender documents

Supplier proposals and contracts

Market reports, pricing indices, and benchmarks

Automate generation of:

Supplier shortlists

Sourcing insights and risk summaries

Executive-ready sourcing recommendations

GCP Agentic AI & Market Intelligence Automation

Build Agentic AI systems that autonomously:

Scan public and paid data sources for supplier and category intelligence

Track supplier pricing, capacity, and global market movements

Monitor geopolitical, inflation, and logistics risk indicators

Continuously refresh market intelligence and trigger alerts for sourcing risks or opportunities

Collaboration & Delivery

Partner closely with procurement leaders, supply chain stakeholders, product owners, and IT/data engineering teams.

Translate business challenges into scalable analytics and AI solutions with measurable impact.

Support deployment, monitoring, and continuous improvement of ML and AI models.

Communicate insights through clear visualizations, reports, and executive presentations to facilitate decision-making at all levels of the organization.

Our requirements
  • Bachelor’s degree in computer science, Data Science, Information Technology, or a related field.
  • 5+ years of experience in data engineering, advanced analytics, or ML/AI roles.
  • Strong experience with Excel, PowerPoint, SQL, and programming languages (ex: Java/Python, SAS, Polars, PySpark) and large-scale data processing tools.
  • Hands-on experience with GenAI, LLM-based applications, prompt engineering, and AI agents.
  • Experience working with SAP EWM / WM or similar ERP/WMS systems.
  • Proficiency with MicroStrategy, Looker studio and Power BI tools
  • Experience with cloud platforms (GCP, Azure, BigQuery, Vertex AI) and modern Dana data lake architectures.
  • Strong understanding of indirect procurement, sourcing, supplier management, and category intelligence.
  • Execute analytical experiments to help solve problems across various domains like Retail, Wholesales, Warehouse, Marketing & Finance
  • Experience across Indirect Procurement categories (IT, MRO, Facilities, Logistics, Professional Services).
  • Familiarity with warehouse and supply chain performance metrics.
  • Exposure to MLOps, feature stores, and scalable AI deployment frameworks.
What we offer
  • Stable employment in an international corporation, which is constantly growing
  • Opportunities to expand expertise across data science, AI, procurement, and supply chain domains.
  • Private medical care and group insurance, also for family members
  • Cash benefits as part of the Social Benefits Fund, i.e., Christmas allowance
  • Co-financed sports card
  • Team and Firma integrations after hours
  • Hybrid work model
  • Workplace based in Warsaw, Polska
Benefits
  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • flexible working time
  • integration events
  • no dress code
  • coffee / tea
  • extra social benefits
  • redeployment package
  • employee referral program
METRO Global Solution Center sp. z o.o.

Join METRO Global Solution Center – where global impact meets innovation!

At METRO GSC, we don’t just support the business – we shape it. As we expand our scope beyond accounting, we’re transforming central corporate functions for METRO.

As a proud member of the METRO/MAKRO family, with over 86,000 employees across more than 30 countries – primarily in Europe and Asia – we create solutions that matter. Our diverse, international community thrives on collaboration, continuous growth, and making a measurable difference. This role is based in Warsaw, Polska, and offers the opportunity to work in a truly global environment. If you’re ready to co-create the future of a truly global business – this is where your impact starts.


Szczegóły oferty:

  • Firma: METRO Global Solution Center sp. z o.o.
  • Stanowisko: Senior Analyst - Data Science
  • Miejsce pracy: Mazowieckie
  • Kraj: PL

Jak złożyć aplikację:

Po zapoznaniu się z kryteriami i wymaganiami opisanymi w informacjach o pracy Senior Analyst - Data Science at the office Mazowieckie powyżej, niezwłocznie przygotuj dokumenty aplikacyjne, takie jak list motywacyjny, CV, kopię dyplomu oraz inne załączniki. Wyślij aplikację, klikając 'Następna strona' poniżej.

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