Data Analyst

Description About Us: Panelmatic, Inc. was founded in 1957 in Youngstown, OH to serve manufacturing industries with the design and build of custom electrical, instrument, and pneumatic control panels. Our business has sufficiently grown over the years to support expansion for our clients. We have produced control packages for many of America's top corporations in the data center, chemical, food & beverage, pulp & paper, material handling, oil & gas, pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use worldwide. Our rigorous methodology ensures compliance with domestic and international standards. We can meet the needs of our diverse clientele from start to finish through sales, design, fabrication, testing, and delivery. Since 1957, we have been known for our high-quality, control packages, our comprehensive service, and our technological and manufacturing expertise. This expertise assures you of our ability to handle the largest and most complex packages quickly and efficiently. Job Summary: The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization, and project execution metrics. This role partners closely with Finance, Operations, Sales, and project teams to define metrics, standardize reporting, build dashboards, and surface actionable insights that improve execution and business performance. Job Duties: Design and develop interactive dashboards, scorecards, and enterprise reports in Microsoft Power BI to provide visibility into revenue, backlog, margin, labor utilization, and project execution metrics. Build and optimize semantic models, datasets, and scalable data models using star schema and dimensional modeling techniques. Develop advanced calculations, measures, and business logic using DAX to support standardized KPI reporting and decision-making. Implement and support Microsoft Fabric solutions, including Lakehouse architectures, data pipelines, and cloud-based enterprise reporting capabilities. Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to integrate and prepare data from ERP, MES, CRM, financial, operational, and manufacturing systems. Collaborate with Finance, Operations, Sales, and other business stakeholders to define KPIs, metrics, reporting requirements, and governance standards. Establish and maintain reporting governance, data quality standards, documentation, security models, row-level security, and data access controls. Monitor report performance, optimize query efficiency, and troubleshoot reporting, refresh, and data integration issues. Support self-service BI initiatives through user enablement, training, and scalable reporting solutions that reduce manual effort and improve adoption. Assist with enterprise data strategy, analytics modernization, and broader cloud data initiatives to improve operational and financial insight across the business. Requirements Minimum Qualifications: Bachelor’s degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or a related field; equivalent experience considered. 3 years of experience in business intelligence, data analysis, enterprise reporting, or operational analytics. Advanced proficiency in Microsoft Power BI, including dashboard development, semantic models, and enterprise reporting solutions. Strong SQL skills and experience with Power Query for data extraction, transformation, and preparation. Experience developing DAX calculations, measures, and business logic to support KPI reporting and analytics. Understanding of scalable data modeling concepts, including star schema and dimensional modeling techniques. Utilize AI/ML techniques and generative AI tools to enhance analytics and automate processes. Experience integrating and validating data from ERP, MES, CRM, financial, operational, or manufacturing systems. Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud data platforms. Strong analytical, problem-solving, communication, and stakeholder management skills. Ability to manage multiple priorities in a fast-paced environment while maintaining accuracy and attention to detail. Preferred Qualifications: Experience building executive dashboards and operational scorecards in a manufacturing, project-based, or industrial environment. Familiarity with manufacturing, supply chain, operations, finance, and sales analytics. Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred). Familiarity with KPI governance, master data management, and data quality best practices. Experience with statistical analysis, forecasting, trend analysis, and predictive modeling. Benefits Medical, dental, vision, HSA, term life, AD&D, STD, LTD 100% medical premium paid for by Panelmatic for the employee-only level medical coverage 80% paid for by Panelmatic and 20% paid for by the employee on all other level medical coverage (i.e. employee plus child, employee plus spouse, family) 401(k) contributions matched 100% up to 4% Scholarships, educational reimbursement, paid volunteerism, and paid personal and professional development provided PTO and paid holidays provided Career advancement opportunities Competitive wages Family-friendly environment with average employee tenure above five yearsaa415a4b-8b21-40fc-a65c-70d2b25ca29a