Business Intelligence Develpoer

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

West Columbia, SC, US

5 days ago Requisition

CEEUS is a member-owned cooperative wholesale distributor serving the electric-utility marketplace. From operations in West Columbia, South Carolina, and Glen Allen, Virginia, we coordinate the flow of materials and equipment from manufacturers to electric cooperatives, municipal utilities, and investor-owned utilities. Our goal is not growth for its own sake. We work to become a better company by creating more value for the utilities and communities we serve.

Business Systems is broader than a traditional IT department. We increase CEEUS's capabilities and capacity by improving the coordinated system of people, process, technology, and data. The Business Data & Applications team builds and operates the enterprise application and data capabilities behind ordering, inventory, supply chain, warehouse operations, delivery, invoicing, and other critical work.

Reporting to the Director of Business Data & Applications, you will design, build, deploy, and support Power BI reports, semantic models, and business automation solutions that help CEEUS use operational data more effectively.

This is hands-on business intelligence development within real operational and enterprise-system constraints. The environment includes ERP and operational data, shared semantic models, Power BI Service, Power Query, Excel, Power Automate, APIs, gateways, testing, documentation, and production support. The role is not limited to visual design. The role requires strong SQL and backend development skills to shape, transform, validate, and deliver reliable data from source systems.

• Design, build, test, deploy, and support Power BI reports, dashboards, semantic models, and datasets that support operational and strategic decision-making.
• Develop clear data models, relationships, reusable DAX measures, and consistent business definitions so reporting remains accurate, understandable, and maintainable.
• Use Power Query and SQL to connect, clean, combine, transform, and validate data from ERP, Excel, Microsoft 365, and other business systems.
• Build and improve Excel-based tools when Excel is the right solution, including structured tables, Pivot Tables, Power Query, Power Pivot, formulas, and validation controls.
• Use Power Automate to reduce manual work through scheduled workflows, approvals, notifications, file processing, and practical integrations; monitor and troubleshoot failures.
• Work directly with the Business Transformation team and business users to understand processes, define requirements and measures, validate results, explain tradeoffs, and improve solutions through feedback.
• Support the Power BI Service lifecycle, including work spaces, access, refresh schedules, gateways, deployment, performance, usage, and production monitoring.
• Investigate data discrepancies, refresh failures, report-performance issues, automation failures, and user-reported problems; identify root causes and own resolution after deployment.
• Use testing, review, release, documentation, and knowledge-sharing practices that make reports and automations understandable and supportable by others.
• Collaborate with the Data Engineer and Application Developer for data integration efforts.

Responsible use of AI: CEEUS supports approved AI-assisted tools. The developer remains accountable for independently validating the correctness, security, maintainability, and appropriateness of all resulting work.

• Want to see and understand the actual work, data, and decisions before deciding what to build.
• Enjoy turning ambiguous reporting needs and inconsistent definitions into reliable, practical analytics.
• Can move comfortably among data modeling, report development, automation, Excel, troubleshooting, and user support.
• Care more about accuracy, clarity, performance, and maintainability than creating visually impressive reports that users cannot trust.
• Are willing to question unclear metrics, validate assumptions, and explain technical choices in practical business language.
• Want to own production behavior, not simply publish a report or flow and hand it off.
• Are comfortable working on-site and entering operational areas when needed to understand how people use data and systems.

• Want to focus only on report visuals without owning data modeling, validation, performance, or support.
• Prefer complete specifications delivered through a ticket queue with little interaction with users or operations.
• Do not want to troubleshoot refreshes, data discrepancies, automation failures, and other complex issues.
• Expect to enter a large, fully mature data educated organization rather than help a growing team strengthen its practices.
• Prefer one-off spreadsheets and isolated…