Supply Chain Intelligence Analyst

Molex; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Molex Bengaluru is seeking a mid-level Data & Analytics Analyst to transform raw enterprise data into governed, business-ready datasets and analytics products that enable reporting, operational insights, and AI-driven decision-making.

You will design scalable data models, build Power BI dashboards with DAX, write advanced SQL, and develop Python automation to support Supply Chain and Spend Analytics. Collaboration with data engineers and business stakeholders is essential.

Qualifications

• Bachelor’s degree in CS, IS, Math, Engineering or related field.
• 3–5 years in Data Analytics or BI roles.
• Strong SQL with complex joins, window functions, and performance tuning.
• Proficiency in Python for data processing and automation.
• Hands-on Power BI experience with DAX and semantic modeling.
• Experience with Snowflake cloud data platform and Cortex capabilities.
• Knowledge of data warehousing concepts and layered architectures.
• Familiarity with Supply Chain and Spend Analytics domains.

Responsibilities

• 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

Skills

SQL

Python

Power BI

DAX

Data Modeling

Snowflake

Education

Bachelor’s degree in Computer Science / Information Systems / Mathematics / Engineering

Tools

dbt

Snowflake Cortex

ERP SAP

Job description

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

• 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

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location.

Who We Are

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.