Senior Analyst - Data Science

Nasze wymagania: 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 Preferred Qualifications: 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 Zakres obowiązków: 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. Oferujemy: 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 company integrations after hours Hybrid work model Workplace based in Warsaw, Poland