Power BI Developer – Hybrid

Summary:

Pay Rate: $43/hr

Location: East Hanover, NJ

Work Mode: Hybrid

Shift: M-F 8:00 AM - 5:00 PM

Responsibilities:

• Support business leaders with quick wins by leveraging data & analytics expertise and by building proof of concept solutions
• Support ETL efforts by preparing, cleaning, and transforming data from various sources, including Alteryx workflows, Google Cloud Platform, SharePoint, Quickbase, etc.
• Develop and maintain BI semantic models in a star schema structure using DAX measures, calculated columns, hierarchies, and established database relationships
• Design and develop BI reports with meaningful visuals that translate complex data problems into simple and easy to understand visualizations

Requirements:

• 3-5 years of experience in Power BI development or related analytics work
• Bachelor’s degree in Data Analytics, Computer Science, Business Information Systems, or a related field preferred

Preferred Skills:

• Extensive knowledge of Excel, Quickbase, Tableau, Power BI Desktop and Power BI Service, including complex data modeling concepts, DAX formulas, and basic SQL querying skills
• Mastery of visualization best practices and UI/UX for dashboards
• Strong collaboration and communication skills
• Openness to feedback and eagerness to learn in a fast-paced environment
• Able to work effectively with business users and stakeholders at all levels of the organization
• Attention to detail and a proactive approach to problem-solving and troubleshooting
• Prior experience in Supply Chain, Operations or Manufacturing and/or knowledge of Supply Chain concepts is preferred

Testing & Quality Assurance:

• Ensure alignment of BI reports with industry best practices, documented KPI definitions, and SCI reporting templates
• Validate data accuracy, consistency, and performance
• Identify and resolve data or visualization issues in collaboration with peers

Deployment & Documentation:

• Publish and manage content across BI workspaces and environments
• Create and maintain documentation of data sources, models, reports, KPI calculations, business logic, and user guides