Business Intelligence Developer II – Multiple Openings

Job not on LinkedIn

🕒 July 1

🇺🇸 United States – Remote

💵 $130.5k - $149.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Business Intelligence Developer

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Cornell University

WebsiteLinkedInAll Job Openings

1 - 10 employees

🏥 Healthcare

💼 Consulting

🍽️ Food & Beverage

Healthcare • Consulting • Food & Beverage

Cornell University is a prestigious Ivy League institution that provides a comprehensive education in various disciplines, placing a strong emphasis on research and academic excellence. It is home to Weill Cornell Medicine, which focuses on medical education, research, and patient care, contributing significantly to the fields of healthcare and biotechnology.

📋 Description

• Create a variety of backend objects. • Develop complete ETL data flow models, from source system extraction transformations, loading and report creation. • Document solution directions, data flows, design and technical specifications. • Create reporting backend infrastructure and reports. • Create complex reports and develop reporting solutions that enhance the end user experience and meet business requirements. • Develop extractions, transformation routines, and user exits using ABAP development programming language. • Develop business intelligence reports in support of the college’s mission.

🎯 Requirements

• Bachelor's Degree in Information Technology, Mechanical Engineering, Information Science, Business Analytics or related field with 5 years experience. • OR Master’s Degree in Information Technology, Mechanical Engineering, Information Science, Business Analytics or related field, with 2 years experience. • Experience as an Analyst, Data Analyst, Consultant, Software Developer, Business Intelligence Developer or directly related occupation (5 years with Bachelor’s degree; 2 years with Master’s degree] • Experience must involve data integration, data modeling and analytics/reporting across platforms, enterprise data warehouses and business intelligence dashboards (e.g., Power BI) • Data integration, data modeling and analytics/reporting across platforms, enterprise data warehouses and business intelligence dashboards.