Senior AI-Driven Supply Chain Analytics Lead

Nestlé; Arlington (VA); On-site; USD 105,000 - 120,000; Full time

Benefits offered by this job

Performance-based incentives

401k with company match

Healthcare coverage

Job summary

Nestlé USA seeks a Senior Analyst – Supply Chain Analytics to transform data into actionable insights and AI-powered analytics across Supply Chain. You will design AI-enabled data products and conversational analytics, enabling scalable, self-service insights.

Role emphasizes building AI agents, semantic models, and multi-platform data platforms, with strong collaboration across IT and business stakeholders.

Qualifications

• Master’s degree in analytics, computer science, or related field.
• Bachelor’s degree in analytics, CS, data science, math, or engineering.
• Minimum 1 year (plus) or 3 years (plus) experience for the role.

Responsibilities

• Apply ETL and cleanse data using SQL and Python for large datasets.
• Develop automated Power BI dashboards for actionable insights.
• Design semantic data models to standardize business logic and scale analytics.
• Leverage AI/BI tools like Snowflake Cortex and Databricks Genie.
• Develop AI agents and conversational analytics for supply chain data.
• Improve data observability across pipelines and reporting systems.
• Partner with stakeholders to ensure trusted data for AI use cases
• Collaborate with Product Owners and teams end-to-end.
• Drive transition from traditional BI to AI-enabled data products.

Skills

SQL

Python

Scala

DAX

PySpark

Power BI

Semantic modeling

AI/ML

GenAI

LLM platforms

Databricks Genie

Snowflake Cortex

React

Streamlit

Education

Master’s degree in Analytics/Data Science/CS

Bachelor’s degree in Analytics/Data Science/Engineering

Tools

Power BI

Databricks Genie

Snowflake Cortex

SQL

Python

PySpark

React

Streamlit

Azure

Snowflake

Job description

Nestlé USA seeks a Senior Analyst – Supply Chain Analytics to transform data into actionable insights and AI-powered analytics across Supply Chain. You will design AI-enabled data products and conversational analytics, enabling scalable, self-service insights.

Role emphasizes building AI agents, semantic models, and multi-platform data platforms, with strong collaboration across IT and business stakeholders.