Senior Analyst - Data Science

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.