Data Analyst – AI focused in Hardware Manufacturing, Quality & ReliabilityRole SummaryThis role sits at the intersection of data analytics, hardware manufacturing, quality & reliability engineering, and digital transformation. As an AI‑savvy Data Analyst, you will generate value‑driven insights from fleet‑scale manufacturing, test, and deployment data while supporting New Product Introduction (NPI) and Product Operations teams.You will transform complex manufacturing and quality concepts into data‑driven metrics, intelligent dashboards, and AI‑enabled applications. You will also lead initiatives that modernize manual workflows into scalable, automated, and insight‑driven systems—leveraging statistical analysis, cloud data platforms, and AI technologies.Key ResponsibilitiesData Analysis & EngineeringExtract, transform, and analyze fleet‑scale manufacturing, testing, deployment, and operational data using advanced SQL (DML).Understand and translate manufacturing, quality, and reliability concepts into measurable, data‑driven solutions and KPIs.Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis.Continuously provide feedback upstream to improve data quality, coverage, and performance.AI, Automation & IntelligenceIdentify and implement opportunities to automate manual workflows using AI and advanced analytics.Develop AI‑driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights.Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications.Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes.Visualization, Reporting & Executive InsightsDesign, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools.Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending.Prepare executive‑level summaries and presentations that distill complex technical data into clear, actionable insights.Provide leadership with real‑time, decision‑ready visibility into manufacturing and operational health.Cross‑Functional Collaboration & Program SupportInteract professionally with engineers, product owners, suppliers, and subject‑matter experts across manufacturing, quality, IT, and operations.Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions.Support multiple parallel initiatives by tracking progress, identifying risks, and escalating delivery impediments when needed.Facilitate change management through documentation, communication plans, and process training.
