Zoox
Overview
Zoox is seeking a systems-minded and execution-driven Data Analyst to partner with our Manufacturing, Logistics, Test, and Quality teams. This role helps 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 will play a hands-on role in shaping how operational teams use data and help them replace ad hoc processes with sustainable, structured data pipelines. The ideal candidate brings a strong blend of data analytics expertise, cross-system understanding, and operational awareness to drive measurable improvements in cycle times, workflow efficiency, and transparency across manufacturing operations. Responsibilities
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 workstreams, 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. Qualifications
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. Bonus Qualifications
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. Compensation
Base salary range: $134,000 - $212,000 per year. The compensation consists of base salary plus equity components (RSUs and stock appreciation rights). A sign-on bonus may be offered. Compensation varies by geographic location and level. The salary range represents the base salary for the levels Zoox is considering for this position. Zoox offers a comprehensive benefits package, including paid time off, health insurance, long-term and short-term disability, life insurance, and other related benefits. About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. We operate at the intersection of robotics, machine learning, and design to enable next-generation mobility-as-a-service in urban environments. We look for talent that is fast-moving, execution-oriented, and passionate about this mission. Accommodations
If you need an accommodation to participate in the application or interview process, please reach out to accommodations@zoox.com or your assigned recruiter.
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Zoox is seeking a systems-minded and execution-driven Data Analyst to partner with our Manufacturing, Logistics, Test, and Quality teams. This role helps 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 will play a hands-on role in shaping how operational teams use data and help them replace ad hoc processes with sustainable, structured data pipelines. The ideal candidate brings a strong blend of data analytics expertise, cross-system understanding, and operational awareness to drive measurable improvements in cycle times, workflow efficiency, and transparency across manufacturing operations. Responsibilities
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 workstreams, 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. Qualifications
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. Bonus Qualifications
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. Compensation
Base salary range: $134,000 - $212,000 per year. The compensation consists of base salary plus equity components (RSUs and stock appreciation rights). A sign-on bonus may be offered. Compensation varies by geographic location and level. The salary range represents the base salary for the levels Zoox is considering for this position. Zoox offers a comprehensive benefits package, including paid time off, health insurance, long-term and short-term disability, life insurance, and other related benefits. About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. We operate at the intersection of robotics, machine learning, and design to enable next-generation mobility-as-a-service in urban environments. We look for talent that is fast-moving, execution-oriented, and passionate about this mission. Accommodations
If you need an accommodation to participate in the application or interview process, please reach out to accommodations@zoox.com or your assigned recruiter.
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