Manufacturing Data Analyst, Zoox

• 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

Desirable

• 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 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