Analytics Engineer, Sentry

Irvine · Irvine, CA (OC-62) · 2+ years experience · Full-time · Posted Sep 23, 2026

At a glance

As an Analytics Engineer on Sentry Analytics, you will own the data and analytics footprint for our Manufacturing and Supply Chain functions.
This is a hands-on, builder-operator role for a highly technical and strategic individual who thrives on untangling complex, ambiguous problems in a physical, fast-moving production environment.
You will design, implement, and maintain the data systems that give Manufacturing and Supply Chain leaders real-time visibility into what we are building, what we need, and where we are constrained.

Own the Manufacturing & Supply Chain analytics footprint end-to-end and serve as the technical lead for data products supporting production planning, purchasing, inventory, capacity, quality, and supplier management.
Build and maintain data pipelines and analytical systems, designing data workflows that ingest, transform, and model data from ERP, MRP, MES, PLM, inventory, and quality systems.
Develop dashboards and analytics that shape production decisions, creating data products ranging from ad hoc analyses to scalable dashboards and trackers.
Own the full product lifecycle by defining requirements, designing user experiences, building technical solutions, and iterating based on user feedback.
Bridge technical and operational needs by partnering closely with Demand & Supply Planning, Manufacturing Engineering, Manufacturing Operations, Quality Engineering, and Supply Chain.
Drive operational efficiency through data analysis, performing quantitative analyses such as inventory reconciliation, variance investigation, trend analysis, root-cause analysis, and demand/supply gap analysis.
Enable smarter supply and production planning by using data to sharpen safety stock, lead time, purchasing, and capacity models.
Iterate based on feedback and evolving requirements to continuously improve data products as Sentry manufacturing scales.
Document and champion data quality by ensuring data definitions, business logic, and methodologies are well-documented and understood across teams.

Bachelor's degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field
2+ years of experience in analytics, operations engineering, data engineering, or software engineering roles
Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Tableau, Looker, Power BI, Streamlit, or similar
Proficient in at least one additional programming language such as Python, SQL, R, TypeScript or similar, for analysis, data visualization, and automation
You thrive on untangling complex, messy problems and are energized by creating order from chaos in a rapidly evolving operational environment
Track record of partnering directly with senior operational leaders and cross-functional teams, translating business problems into technical solutions for non-technical stakeholders
Must be authorized to work in the United States

You can build full-stack solutions, including frontend development with React or similar frameworks when needed
Familiarity with data pipeline concepts, ETL processes, or data engineering principles
Direct experience working within ERP, MRP, MES, PLM, or inventory management systems, or building analytics on top of them
Background in supply chain or manufacturing operations with familiarity in concepts like MRP logic, safety stock modeling, lead time analysis, or supplier performance
Background in hardware product lifecycle operations, manufacturing environments, or complex hardware/software systems
Background working in fast-paced environments without a playbook, particularly in hyper-growth or startup settings
Experience in defense, aerospace, robotics, autonomy, or mission-critical technology environments

Highly competitive equity grants included in the majority of full time offers
Top-tier benefits for full-time employees supporting health, recovery, and whatever comes next

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