Manufacturing Data Analyst

Zoox is seeking a systems-minded and execution-driven Data Analyst to partner with our Manufacturing, Logistics, Test, and Quality teams. This role is critical in helping teams make data-informed decisions by automating data extraction, integrating cross-platform insights, and developing scalable analytics infrastructure. You will work across tools like Jira, SAP, 3DX, MES, and Ignition to transform fragmented data into unified, real-time dashboards and reporting solutions.

Whether it’s visualizing inbound logistics delays, automating defect tracking, or building predictive metrics around first pass yield, you shall play a hands-on role in shaping how operational teams use data, helping them replace ad hoc processes with sustainable, structured data pipelines. The ideal candidate will bring a strong blend of data analytics expertise, cross-system understanding, and operational awareness to help teams drive measurable improvements in cycle times, workflow efficiency, and overall transparency across manufacturing operations.

• Translate operational challenges and data pain points into structured analytics requirements by defining clear metrics and delivering actionable, data-driven insights to support decision-making.
• Design and automate end-to-end data workflows—including extraction, transformation, storage, and visualization—across systems such as Jira, SAP, 3DX, MES, and Ignition.
• Build and maintain scalable, user-friendly dashboards (e.g., Looker, Tableau) that monitor critical KPIs, including first pass yield, inbound cycle time, non-conformance rates, and equipment utilization.
• Lead cross-functional analytics initiatives by scoping work streams, aligning stakeholders, establishing realistic timelines, and driving projects to completion.
• Improve data quality and reliability by leading data hygiene efforts and standardizing KPI definitions across teams to ensure consistent, trustworthy reporting.
• Develop and maintain intermediate datasets, bridge fragmented data sources, and contribute to data model design to prepare the organization for scalable analytics and future AI/ML integration.

• Bachelor’s degree in Computer Science, Data Analytics, Statistics, or related discipline
• 5+ years of hands-on experience in operations analytics, business intelligence, or technical problem-solving within manufacturing, logistics, or service operations.
• Proficiency in SQL, Excel, and emerging AI tools, with a strong ability to analyze and interpret complex datasets.
• Demonstrated success in designing and maintaining dashboards and reports using tools such as Tableau, Looker, or Power BI.
• Proven ability to work cross-functionally with operations and technical teams to frame problems, define metrics, and deliver actionable insights.
• Strong communication and data storytelling skills, with the ability to present complex insights to non-technical stakeholders and drive alignment on decisions.

• Master’s degree in Business Analytics, Industrial Engineering, Data Science, or related discipline.
• Experience with manufacturing execution systems (MES), logistics systems (SAP, EWM ), or engineering systems (3DX).
• Working knowledge of lean manufacturing, test operations, logistics workflows, and key metrics like first-pass yield, PO cycle time, and NC tracking.
• Proficiency in advanced analytics tools (Python, R) and experience driving KPI standardization or data quality initiatives across teams.
• Familiarity with data modeling, dashboard governance, and preparing datasets for scalable analytics or future AI/ML integration.

$134,000 – $212,000 a year. Base Salary Range. There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate’s relevant years of experience, domain knowledge, and interview…