Senior Supply Chain Analytics Analyst at Nestlé USA
Arlington, VA | Solon, OH — full-time
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. JOB DUTIES/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 EDUCATION REQUIREMENTS • A Master’s degree (or foreign equivalent) in Analytics, Computer Science, Data Science, Business, Mathematics, Statistics, Engineering, or a related discipline • Plus, a minimum of 1 year of experience in the job offered or as an Analyst or • A Bachelor’s degree (or foreign equivalent) in Analytics, Computer Science, Data Science, Business, Mathematics, Statistics, Engineering, or a related discipline • Plus, a minimum of 3 years of experience in the job offered or as an Analyst EXPERIENCE & SKILLS 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 stac