{"schemaVersion":"jobsearcher.job.v1","id":"671b48fd7dee3d9b5304fc72","url":"https://jobsearcher.com/jobs/671b48fd7dee3d9b5304fc72","canonicalUrl":"https://jobsearcher.com/jobs/671b48fd7dee3d9b5304fc72","title":"Data Analytics Manager","description":"Data Analytics Manager\n\nJob Role\n\nThe Data Analytics Manager leads Kirkhill's data analytics, business intelligence, systems integration, and automation functions, supporting the organization with particular emphasis on Production, Supply Chain, and Quality. This is a hands-on working manager who personally develops and supports technical solutions while managing personnel, setting departmental priorities, and ensuring timely delivery of business value.\n\nThe role combines manufacturing and ERP expertise with SQL Server, Power BI, Python, Excel, Microsoft Power Platform, and emerging AI technologies to solve operational problems and improve decision-making.\n\nResponsibilities\nDepartment Leadership & Prioritization\nLead, coach, and develop departmental personnel; establish accountability, technical standards, and effective working practices.\nEvaluate business requests, set priorities, allocate resources, coordinate work, and balance daily support with strategic initiatives.\nPartner with functional leaders to define objectives, manage stakeholder expectations, and deliver projects on schedule.\nHands-On Engineering & Solution Delivery\nActively perform day-to-day engineering work, including solution design, coding, analytics, troubleshooting, deployment, and support alongside the team.\nOwn and oversee solutions throughout requirements, development, testing, documentation, training, and ongoing maintenance.\nDesign and maintain SQL Server queries, data models, stored procedures, ETL processes, dashboards, and reporting applications.\nManufacturing, ERP & Decision Support\nDevelop analytics for production, capacity, WIP, material availability, quality, backlog, and on-time delivery.\nBuild solutions around Infor CSI/Syteline ERP, APS/MRP, scheduling, jobs, BOMs, routings, inventory, purchasing, and material transactions.\nImprove production planning, material visibility, projected completion dates, and operational decision-making.\nIntegration, Automation & AI\nDevelop and integrate business processes using SQL, Python, REST APIs, Power Automate, Power Apps, Excel/VBA, and related tools.\nIdentify and implement practical AI and advanced analytics applications, including document intelligence, intelligent workflow automation, predictive analytics, and large language models.\nEvaluate solutions for measurable business value, accuracy, security, data quality, reliability, and maintainability.\nContinuous Improvement & Strategy\nUse operational data to identify bottlenecks, risks, and process improvement opportunities; measure results.\nGuide the longer-term analytics and factory information systems strategy, including ERP, quality, BI, automation, and AI integration.\nRequirements\nBachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related discipline.\n6+ years of relevant experience in manufacturing systems, business intelligence, analytics, or business systems analysis.\nDemonstrated technical leadership, project coordination, prioritization, and effective communication with technical and nontechnical stakeholders.\nAdvanced SQL Server/T-SQL skills; strong Power BI, data modeling, DAX, Power Query, Excel, and operational reporting experience.\nExperience with Python, APIs, Microsoft Power Platform, or comparable integration and automation technologies.\nKnowledge of ERP/MRP systems and manufacturing operations, including BOMs, routings, WIP, capacity, inventory, materials, and scheduling.\nAbility and willingness to contribute directly to daily technical production while managing and leading the department.\nPreferred Qualifications\nExperience supervising or mentoring technical personnel and managing cross-functional initiatives.\nInfor CSI/Syteline expertise, including SQL data structures and APS/MRP; factory scheduling and capacity-planning solutions.\nExperience integrating ERP, MES, quality, or planning systems and implementing AI-enabled manufacturing or business automation.","company":"Kirkhill","rawCompany":"kirkhill","city":"Brea","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-25T08:22:22.542Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"11-3051.00","title":"Industrial Production Managers","slug":"industrial-production-managers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Manager","description":"Data Analytics Manager\n\nJob Role\n\nThe Data Analytics Manager leads Kirkhill's data analytics, business intelligence, systems integration, and automation functions, supporting the organization with particular emphasis on Production, Supply Chain, and Quality. This is a hands-on working manager who personally develops and supports technical solutions while managing personnel, setting departmental priorities, and ensuring timely delivery of business value.\n\nThe role combines manufacturing and ERP expertise with SQL Server, Power BI, Python, Excel, Microsoft Power Platform, and emerging AI technologies to solve operational problems and improve decision-making.\n\nResponsibilities\nDepartment Leadership & Prioritization\nLead, coach, and develop departmental personnel; establish accountability, technical standards, and effective working practices.\nEvaluate business requests, set priorities, allocate resources, coordinate work, and balance daily support with strategic initiatives.\nPartner with functional leaders to define objectives, manage stakeholder expectations, and deliver projects on schedule.\nHands-On Engineering & Solution Delivery\nActively perform day-to-day engineering work, including solution design, coding, analytics, troubleshooting, deployment, and support alongside the team.\nOwn and oversee solutions throughout requirements, development, testing, documentation, training, and ongoing maintenance.\nDesign and maintain SQL Server queries, data models, stored procedures, ETL processes, dashboards, and reporting applications.\nManufacturing, ERP & Decision Support\nDevelop analytics for production, capacity, WIP, material availability, quality, backlog, and on-time delivery.\nBuild solutions around Infor CSI/Syteline ERP, APS/MRP, scheduling, jobs, BOMs, routings, inventory, purchasing, and material transactions.\nImprove production planning, material visibility, projected completion dates, and operational decision-making.\nIntegration, Automation & AI\nDevelop and integrate business processes using SQL, Python, REST APIs, Power Automate, Power Apps, Excel/VBA, and related tools.\nIdentify and implement practical AI and advanced analytics applications, including document intelligence, intelligent workflow automation, predictive analytics, and large language models.\nEvaluate solutions for measurable business value, accuracy, security, data quality, reliability, and maintainability.\nContinuous Improvement & Strategy\nUse operational data to identify bottlenecks, risks, and process improvement opportunities; measure results.\nGuide the longer-term analytics and factory information systems strategy, including ERP, quality, BI, automation, and AI integration.\nRequirements\nBachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related discipline.\n6+ years of relevant experience in manufacturing systems, business intelligence, analytics, or business systems analysis.\nDemonstrated technical leadership, project coordination, prioritization, and effective communication with technical and nontechnical stakeholders.\nAdvanced SQL Server/T-SQL skills; strong Power BI, data modeling, DAX, Power Query, Excel, and operational reporting experience.\nExperience with Python, APIs, Microsoft Power Platform, or comparable integration and automation technologies.\nKnowledge of ERP/MRP systems and manufacturing operations, including BOMs, routings, WIP, capacity, inventory, materials, and scheduling.\nAbility and willingness to contribute directly to daily technical production while managing and leading the department.\nPreferred Qualifications\nExperience supervising or mentoring technical personnel and managing cross-functional initiatives.\nInfor CSI/Syteline expertise, including SQL data structures and APS/MRP; factory scheduling and capacity-planning solutions.\nExperience integrating ERP, MES, quality, or planning systems and implementing AI-enabled manufacturing or business automation.","datePosted":"2026-10-25T08:22:22.542Z","dateModified":"2026-10-25T08:22:22.542Z","hiringOrganization":{"@type":"Organization","name":"Kirkhill","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brea","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"671b48fd7dee3d9b5304fc72"},"url":"https://jobsearcher.com/jobs/671b48fd7dee3d9b5304fc72"}}