Power BI Developer

Title: Power BI Developer Hybrid
Location: East Hanover, NJ
Shift: M-F 8:00 Am - 5:00 Pm
Pay Rate: $43/hr
W 2 Only

Experience:
3-5 years of experience in Power BI development or related analytics work; courses, internships or academic projects related to change management are a plus
Prior experience in Supply Chain, Operations or Manufacturing and/or knowledge of Supply Chain concepts is preferred

Key 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

Dashboard & Report Development

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

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

Education:
Bachelors degree in Data Analytics, Computer Science, Business Information Systems, or a related field preferred