Manufacturing Systems & Data Analytics Intern

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions.Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better.Job Title: Manufacturing Systems & Data Analytics InternLocation: Salt Lake City, UTMentor: Continuous Improvement ManagerJob Purpose: The Manufacturing Systems & Data Analytics Intern will support plant operations through advanced data aggregation, dashboard development, and Manufacturing Execution System (MES) enhancement initiatives. This role focuses on improving data visibility, strengthening manufacturing analytics, and supporting automation system improvements to drive informed decision-making across the organization.Responsibilities Include:Aggregate and structure manufacturing data from multiple sources and databasesDevelop and enhance interactive dashboards using Power BIBuild automated reports to support operational, quality, and performance metricsUtilize SQL, Excel, and database systems for data extraction and analysisApply Python or R for data manipulation, analysis, and process optimizationAssist with Manufacturing Execution System (MES) enhancement initiativesSupport PLC-related improvements (Allen-Bradley, Siemens)Collaborate on industrial networking and communication protocol integrationHelp troubleshoot system issues and support process improvementsEnsure alignment with safety standards and regulatory requirementsLearning Outcomes:Aggregate and clean manufacturing data from multiple sources and databasesWrite SQL queries to extract and manipulate operational dataUse Python or R for data analysis and process improvement insightsDesign and deploy interactive dashboards in Power BITranslate complex datasets into clear, actionable business insightsUnderstand the structure and function of a Manufacturing Execution System (MES)Support MES enhancement initiatives within a live production environmentGain exposure to PLC programming platforms (Allen-Bradley, Siemens)Understand industrial networking and communication protocolsApply safety standards and regulatory considerations in automation projectsApply structured problem-solving in a manufacturing settingImprove cross-functional communication between engineering, IT, and operationsDevelop project documentation and technical reporting skillsStrengthen time management and prioritization in a plant environmentContribute to data-driven decision-making initiativesEducation/Experience Requirements:Pursuing a degree in Electrical Engineering, Mechanical Engineering, Automation, Data Analytics, Computer Science, or related fieldExperience with SQL, Excel, and database systemsProgramming knowledge in Python or RFamiliarity with Tableau or Power BIUnderstanding of APIs and system integrationsStrong analytical and problem-solving skillsAbility to translate data into actionable insightsDetail-oriented with strong organizational skillsEffective communication and teamwork abilitiesExposure to PLC programming and industrial communication protocols preferredJ-18808-Ljbffr