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:

Required

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)