Panelmatic

Manufacturing

DataAnalyst

$75–105k ~AI est. Houston, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Analyst at Panelmatic. Skills: Business Intelligence, Data Analysis, Enterprise Reporting, Microsoft Power BI. Design interactive dashboards. Develop interactive scorecards”

What You'll Achieve.

Improve execution; Improve business performance

Industry & Context.

Manufacturing
Problems you'll solve

Problem-solving; Troubleshoot reporting issues; Troubleshoot refresh issues; Troubleshoot data integration issues

What They're Looking For.

Must Have

Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or related equivalent experience, 3+ years of experience in business intelligence, data analysis, enterprise reporting, or operational analytics, Advanced proficiency in Microsoft Power BI, SQL skills, Experience with Power Query, Experience developing DAX calculations, measures, and business logic, Understanding of scalable data modeling concepts, Utilize AI/ML techniques and generative AI tools, 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, Analytical skills, Problem-solving skills, Communication skills, Stakeholder management skills, Ability to manage multiple priorities, Attention to detail

Nice to Have

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

What You'll Do.

Design interactive dashboards

Develop interactive scorecards

Develop enterprise reports in Microsoft Power BI

Build semantic models

Optimize semantic models

Build scalable data models

Optimize scalable data models

Develop advanced calculations

Develop business logic using DAX

Implement Microsoft Fabric solutions

Support Microsoft Fabric solutions

Create data transformation workflows

Maintain data transformation workflows using Power Query

Maintain data transformation workflows using SQL

Maintain data transformation workflows using Fabric pipelines

Integrate data from ERP systems

Integrate data from MES systems

Integrate data from CRM systems

Integrate data from financial systems

Integrate data from operational systems

Integrate data from manufacturing systems

Prepare data from ERP systems

Prepare data from MES systems

Prepare data from CRM systems

Prepare data from financial systems

Prepare data from operational systems

Prepare data from manufacturing systems

Collaborate with Finance

Collaborate with Operations

Collaborate with Sales

Collaborate with business stakeholders

Define reporting requirements

Define governance standards

Establish reporting governance

Maintain reporting governance

Establish data quality standards

Maintain data quality standards

Establish documentation standards

Maintain documentation standards

Establish security models

Maintain security models

Establish row-level security

Maintain row-level security

Establish data access controls

Maintain data access controls

Monitor report performance

Optimize query efficiency

Troubleshoot reporting issues

Troubleshoot refresh issues

Troubleshoot data integration issues

Support self-service BI initiatives

Develop scalable reporting solutions

Assist with enterprise data strategy

Assist with analytics modernization

Assist with broader cloud data initiatives

How You'll Work.

Team & Collaboration

Partner with Finance; Partner with Operations; Partner with Sales; Partner with project teams

Full Job 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

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