Senior Supply Chain Analytics Analyst
About The Position
Nestlé USA is seeking a Senior Analyst – Supply Chain Analytics to transform complex data into actionable, business-friendly insights that drive operational excellence and digital innovation. This role will additionally focus on designing and delivering AI-powered analytics solutions leveraging large language models (LLMs), and advanced data platforms to enable intelligent, scalable, and automated decision-making across Supply Chain. This role will help us shift from traditional reporting toward building AI-enabled data products, including conversational analytics, intelligent agents, and self-service insights.
Requirements
- Hands-on experience with SQL, Python, Scala, and DAX, including PySpark for large-scale data processing
- Advanced experience with Power BI or similar BI tools
- Experience with semantic modeling techniques for scalable analytics solutions
- Experience developing or supporting AI/ML or GenAI-based solutions
- Proven results with LLM-powered platforms such as Databricks Genie or Snowflake Cortex
- Experience working in complex, multiplatform architecture including multiple data lakes (Azure, Snowflake) and multiple analytics tools
- Ability to bridge business needs with AI and advanced data solutions to drive measurable impact and optimal tech stack
- Hands-on experience with React and Streamlit for configuring webapps
- Strong supply chain knowledge
Responsibilities
- Apply advanced ETL and data cleansing technique to analyze large datasets using SQL and python
- Develop automated dashboards in Power BI for actionable insights
- Design and implement semantic data models to standardize business logic, ensure consistency, while helping IT to enable scalable, reusable analytics across a multi-platform ecosystem
- Leverage AI/BI products (Snowflake Cortex, Databricks Genie) to enable self-service reporting, automated insights, and intelligent analytics experiences
- Develop and operationalize AI agents (e.g., conversational bots, decision-support tools) that enable users to interact with supply chain data using natural language
- Work with IT to help improve data observability practices to proactively identify and resolve data issues across pipelines and reporting systems
- Partner with business and IT stakeholders to ensure trusted, high-quality data assets for analytics and AI use cases
- Collaborate with Product Owners and stakeholders across project End-to-End lifecycle
- Drive the transition from traditional BI reporting to AI-enabled data products and intelligent automation solutions
Benefits
- 401k with company match
- healthcare coverage
- performance-based incentives
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
