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JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Office of Research Information Systems (ORIS), a unit of the Office of the Senior Vice President for Research (OSVPR), seeks a Data Modeling Analyst to design, develop, and maintain dashboards, analyses, reports, and datasets focused on the performance of administrative processes within Penn State’s research enterprise to enhance organizational excellence, reduce bottlenecks, and improve research administrative processes. 

This position will play an integral role in a collaborative Research Support Transformation Project (RSTP) that uses data-informed approaches to advance science by reducing researcher and administrative burdens across the lifecycle of research projects and programs.  

Responsibilities: The Data Modeling Analyst will have the following responsibilities:  

• Collaborate with stakeholders to understand their data needs and requirements and translate them into engaging data stories.  
• Visualize operational and strategic data to identify and answer critical business questions, including operational process performance and KPIs.  
• Develop visually appealing and effective data visualizations, including charts, graphs, dashboards, and infographics, to convey complex data in a clear and understandable manner. 
• Work closely with ORIS developers, database administrators, business analysts, and other teams at Penn State to source data for designing visualizations while ensuring the accuracy of data used in visualizations.  
• Create interactive dashboards that allow end-users to explore data and gain insights through filtering, drill-down, and other interactive features. 
• Conduct ad hoc statistical analysis and reporting to support data-informed decisions. 

The successful candidate will be a champion for data quality and integrity and must be able to communicate data analyses and visualizations effectively to executives and non-technical stakeholders. Candidates with research administration content expertise, experience working with administrative/business intelligence data, knowledge of standard data management processes and techniques, and a portfolio of effective and well-designed data visualizations are preferred. Training in one or more functional areas can be provided for the right candidate.  

Education and Experience: Typically requires a Bachelor’s degree or higher and 4+ years of related experience or an equivalent combination of education and experience.  

This is a technical role; experience and comfort with data mod