Job Description
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
- 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.
