Founded in 1841, Fordham is the Jesuit University of New York, offering an exceptional education distinguished by the Jesuit tradition to more than 16,000 students in its nine colleges and schools. It has residential campuses in the Bronx and Manhattan, a campus in West Harrison, N.Y., the Louis Calder Center Biological Field Station in Armonk, N.Y., and the London Centre in the United Kingdom.

The University offers a comprehensive benefits package that includes medical, dental, and vision insurance; flexible spending accounts; retirement plans; life insurance; short and long-term disability; employee assistance program (EAP); tuition remission; and generous time off.

Successful candidates should have a knowledge of and commitment to the goals of Jesuit Education.

Reporting to the Director of Analytics, the Power BI Developer designs, develops, and maintains SQL code, data models, pipelines, and reports to support institutional reporting and decision-making. This role leverages tools such as Azure, SQL, Power BI, and related ETL technologies to deliver accurate and efficient business intelligence solutions. 

The position may require occasional evening, weekend, or holiday hours.

Builds and maintains scalable Power BI and Azure data models to support ongoing business needs.

Develops and optimizes SQL queries, dashboards, and dataflows.

Designs and maintains ETL pipelines that integrate data from Ellucian Banner and other systems.

Ensures integration of on-prem and cloud data sources.

Delivers end-to-end BI solutions from requirements through deployment.

Collaborates with stakeholders on reporting needs, governance, and compliance.

Documents processes, data models, and reports for reuse and maintenance.

Ensures deliverables meet expectations and are consistent with IT standards.

High School Diploma or equivalent and a minimum of 5 years of Power BI development and data visualization, or an equivalent combination of education and experience.

Experience with Ellucian Banner or higher-ed systems; SIS, Finance, HR, and Academic data.

Knowledge of Python.

Knowledge of Snowflake.

Familiarity with AI/ML analytics for student success and retention.