Senior Analyst Data Science
Share
Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Key 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.
Qualifications :
- Bachelors 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.
Additional Information :
We provide:
- 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
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
METRO is a leading international wholesale company with food and non-food assortments that specialises in serving the needs of hotels, restaurants and caterers (HoReCa) as well as independent traders. Around the world, METRO has 15 million customers who can choose whether to shop in o ... View more
