About the role

Supply Chain Intelligence Analyst
Your Job
We are looking for a mid-level Data & Analytics Analyst to join our Data & Analytics practice.
This role will focus on transforming raw enterprise data into governed, business-ready datasets
and analytical products that enable reporting, operational insights, and AI-driven decision-
making.
You will work closely with business stakeholders, data engineers, architects, and analytics
teams to design scalable data models, develop insightful dashboards, and enable intelligent
analytics capabilities across Supply Chain and Spend Analytics domains.
The ideal candidate combines strong technical analytics skills with business understanding and
a passion for solving operational problems through data.

Our Team
We brand ourselves as the Process Excellence Team in Supply Chain. I lead a highly talented
team with diverse backgrounds in buying, planning, and analytics. Our mission is to drive
Process Excellence in Supply Chain by equipping practitioners with the right capabilities. We
not only develop and implement these capabilities but also ensure their effective adoption,
enabling teams to drive the right outcomes and create lasting value.

What You Will Do
 Design and develop scalable data models and transformation logic to support business
reporting, analytics, and AI-driven use cases
 Build and maintain Power BI dashboards and semantic models, including DAX
measures, row-level security, and performance optimization
 Write advanced SQL queries for data transformation, aggregation, validation, and
optimization
 Develop Python-based automation for data processing, reconciliation, quality validation,
and reporting workflows
 Leverage Snowflake and Snowflake Cortex capabilities to support AI-powered analytics,
intelligent insights, and natural language-driven experiences
 Apply AI and machine learning concepts to analytical use cases such as predictive
insights, anomaly detection, classification, and recommendation-driven analytics
 Partner with business stakeholders to understand requirements and translate them into
scalable analytical solutions
 Support Supply Chain and Spend Analytics initiatives, including procurement analytics,
supplier performance, category spend analysis, sourcing insights, and operational KPI
reporting

 Contribute to data governance, data quality, lineage documentation, and standardized
business definitions
 Work collaboratively within Agile delivery teams across data engineering, analytics, and
business functions

Who You Are (Basic Qualifications)
 3–5 years of experience in Data Analytics, Business Intelligence, or Analytics
Engineering roles
 Bachelor’s degree in Computer Science, Information Systems, Mathematics,
Engineering, or related field
 Strong SQL expertise, including complex joins, window functions, CTEs, query
optimization, and performance tuning
 Proficiency in Python for data processing, automation, and analytical workflows
 Hands-on Power BI experience, including DAX, semantic modelling, dashboard design,
and security implementation
 Experience working with Snowflake cloud data platform and Snowflake Cortex
capabilities
 Strong understanding of data warehousing concepts and layered data architectures
(Raw, Harmonized, Business/Consumption layers)
 Experience working with Supply Chain and Spend Analytics data domains, including
procurement, supplier performance, sourcing, inventory, cost, and category analytics
 Strong analytical and problem-solving skills with the ability to work with both technical
and business teams

What Will Put You Ahead
 Microsoft PL-300 (Power BI) certification — desirable
 Exposure to AI/ML frameworks and Large Language Model (LLM) APIs
 Experience with dbt or similar modern data transformation frameworks
 Understanding of data governance, master data, and data quality frameworks
 Exposure to ERP platforms such as SAP in Supply Chain or Procurement environments
 Experience working in Agile or product-oriented delivery models

Supply Chain Intelligence Analyst.

3–5 years of experience in Data Analytics, Business Intelligence, or Analytics Engineering roles
Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering, or related field
Strong SQL expertise, including complex joins, window functions, CTEs, query optimization, and performance tuning
Proficiency in Python for data processing, automation, and analytical workflows
Hands-on Power BI experience , including DAX, semantic modelling, dashboard design, and security implementation

Data analytics, Python, SQL, Power BI, and then AI

Good to have: AI, what’s an LLM, how AI works, what is an agent