Power BI & Data Automation Developer

CEEUS Inc; West Columbia (SC); On-site; USD 80,000 - 110,000; Full time

Job summary

CEEUS Inc in West Columbia, SC, is seeking a skilled BI Developer to design and deliver Power BI reports, semantic models, and automation solutions that enable better use of operational data.

You will work with ERP and other data sources, build reusable data models, and collaborate with business users to define requirements, measures, and data quality. The role emphasizes reliability, performance, and on-site collaboration.

Qualifications

• Bachelor’s degree in IT, CS, analytics or MIS.
• 3+ years BI/analytics experience.
• ERP and/or warehouse/supply-chain data experience.

Responsibilities

• Design, build, test, deploy, and support Power BI reports, dashboards, semantic models, and datasets.
• Develop data models, relationships, reusable DAX measures, and accurate definitions.
• Use Power Query and SQL to transform data from ERP, Excel, and Microsoft 365.
• Build and improve Excel tools when appropriate, with PivotTables and data validation.
• Use Power Automate to automate workflows and integrate systems; monitor issues.
• Collaborate with Business Transformation and users to define requirements and measures.
• Support Power BI Service lifecycle, including workspaces, refreshes, gateways, and monitoring.
• Investigate data discrepancies and reliability issues; drive resolutions with the team.
• Document processes and share knowledge for maintainability.

Skills

Power BI

DAX

SQL

Power Query

Excel

Power Automate

Education

Bachelor's degree in a relevant technical field

Tools

Power BI Service

Microsoft 365

SharePoint

Teams

Job description

CEEUS Inc in West Columbia, SC, is seeking a skilled BI Developer to design and deliver Power BI reports, semantic models, and automation solutions that enable better use of operational data.

You will work with ERP and other data sources, build reusable data models, and collaborate with business users to define requirements, measures, and data quality. The role emphasizes reliability, performance, and on-site collaboration.