Supply Chain Data & Systems Analyst

Company Overview: 

We are a high-growth startup building next-generation high‑performance switching systems for hyperscale and AI data centers. Our platforms power large-scale cloud infrastructure, GPU clusters, and high-density compute environments where performance, reliability, and thermal efficiency are critical to customer operations.

About the Role:

We are looking for a technically versatile Data & Systems Engineer to join our growing team. In this role, you will be the cornerstone of our data infrastructure and business systems ecosystem — building and maintaining the data pipelines and warehouses that power critical business decisions, deploying AI-driven applications that streamline operations, and providing scripting and customization support across our core business platforms. You will work cross-functionally with Supply Chain, Finance, and other non-engineering business teams to ensure data is accurate, accessible, and actionable.

Key Responsibilities:

Data Infrastructure & Warehousing

• Design, build, and manage scalable data pipelines that ingest, transform, and deliver data from multiple business systems


• Own and maintain the enterprise data warehouse, ensuring it meets the reporting and analytical needs of Supply Chain, Finance, and other business functions


• Monitor pipeline health, data quality, and system performance; proactively identify and resolve issues


• Partner with business stakeholders to understand data requirements and translate them into reliable, well-documented data models

AI Application Deployment & Agent Support

• Deploy, maintain, and continuously improve AI-based applications and automation workflows that support business operations


• Provide hands-on support for AI agents, with a focus on data integrity, accuracy, and output validation


• Collaborate with business teams to identify opportunities where AI can reduce manual effort and improve process efficiency


• Ensure responsible AI use by implementing appropriate monitoring, logging, and data governance practices

Business Systems Scripting & Customization

• Develop and maintain scripts, workflows, and customizations within NetSuite (SuiteScript), Arena PLM, and other business applications


• Partner with functional teams to gather requirements and implement system enhancements that improve usability and process alignment


• Troubleshoot and resolve issues related to system integrations, custom scripts, and automated workflows


• Maintain clear documentation of all customizations and configurations to support audits and future changes

Qualifications:

• 3+ years of experience in data engineering, business systems engineering, or a similar technical role


• Proficiency in SQL and at least one scripting/programming language (Python, JavaScript, or equivalent)


• Hands-on experience building and managing data pipelines and ETL/ELT workflows


• Familiarity with data warehousing concepts and tools (e.g., Snowflake, BigQuery, Redshift, dbt)


• Experience with NetSuite (SuiteScript) or other ERP/PLM customization and scripting


• Strong understanding of data quality, data governance, and documentation best practices

Preferred

• Experience deploying or supporting AI/ML applications or LLM-based agents in a business context


• Familiarity with Arena PLM or similar product lifecycle management systems


• Experience working with Supply Chain or Finance data domains


• Exposure to workflow automation tools (e.g., Zapier, Make, or similar)