Data Analyst

Job Description SummaryActivities contributing to the design and development of products, solutions and systems. Includes activities linked to technical improvement of existing products and components Impacts quality of own work and the work of others on the team. Executes standard operational/technical tasks typically subject to instructions and work routines. There is latitude to rearrange the sequence to complete task/duties based on changing work situations.Job DescriptionWe are seeking a highly motivated Data Analyst to support the Advanced Manufacturing Engineering (AME) team. The role focuses on transforming manufacturing data into actionable insights that improve process performance, yield, quality, cycle time, and operational efficiency. The analyst will work closely with Process Engineers, Yield Engineers, Production, Quality, and Operations teams to drive data-driven decision making across the manufacturing line.Key ResponsibilitiesManufacturing Data AnalyticsAnalyze manufacturing, process, equipment, and quality data to identify trends, correlations, and opportunities for improvement.Develop and maintain dashboards, reports, and KPIs that monitor line performance, yield, scrap, throughput, and cycle time.Support investigations of process excursions, defects, and yield losses through data analysis and visualization.Perform root cause analysis using statistical methods and manufacturing datasets.Reporting and VisualizationDesign and maintain Power BI dashboards and automated reporting solutions.Create meaningful visualizations for engineering, operations, and leadership reviews.Generate daily, weekly, and monthly performance reports for manufacturing management.Process Improvement SupportPartner with Process and Yield Engineers to evaluate process capability and identify improvement opportunities.Support Design of Experiments (DOE) analysis and interpretation of experimental results.Quantify the impact of process changes through statistical analysis.Monitor process health indicators and establish early-warning detection systems for deviations.Data Infrastructure and AutomationDevelop and maintain SQL queries, views, and data models from MES, SPC, ERP, and manufacturing databases.Automate data collection, transformation, and reporting processes.Ensure data integrity, consistency, and accuracy across multiple manufacturing systems.Support digital transformation initiatives through advanced analytics and automation.Cross-Functional CollaborationWork closely with manufacturing, engineering, quality, and supply chain teams.Present analytical findings and recommendations to technical and management audiences.Provide training and guidance on data interpretation and dashboard utilization.Required QualificationsEducationBachelor's degree in:Industrial EngineeringStatisticsData ScienceComputer ScienceEngineeringApplied MathematicsRelated technical fieldExperience2+ years of experience in data analytics, manufacturing analytics, or business int...