Analyst (Decision Support)

Advance evidence informed decision making at UD in a role dedicated to engaging and impactful data analysis and visualization! Working as part of a team, the analyst will have a chance to develop deep expertise in one or more areas of focus while contributing their ideas and skills to analysis in areas including academics; enrollment management; student success, wellbeing, and engagement; finance; administration; human resources; information technology; and diversity, equity, and inclusion. This is a full time benefit eligible position that offers health, dental and vision insurance, retirement, disability, tuition assistance for you and your dependents, vacation/sick accrual and holiday pay.

The Decision Support Analyst produces reliable, valid, useful, engaging and impactful data analysis and visualization across a wide variety of university issues. Working as part of a team the analyst will:

-Work with stakeholders to identify needs and research questions
-Develop systematic approaches for sourcing, combining, and shaping data to meet multiple requests and research questions
-Build and iteratively improve engaging and insightful self-service dashboards that provide a variety of information while drawing attention to key dynamics
-Engage stakeholders with analytic products

Working as part of a team, the analyst will have a chance to develop deep expertise in one or more areas of focus while contributing their ideas and skills to a wide variety of projects. Potential issue areas will include but not be limited to: academics; enrollment management; student success, wellbeing, and engagement; finance; administration; human resources; information technology; and diversity, equity, and inclusion.

-Associates degree or at least two years of directly related experience
-Work or educational experience with quantitative data analysis, research, analytics, data science, or assessment
-Experience managing projects
-Effective written and verbal communication skills
-Commitment to professional development related to diversity, equity, and inclusion

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:

-Relevant Masters degree
-At least two years of directly related experience
-Demonstrated history of learning new analytic skills through projects and iteratively improving skill sets and approaches (in previous work or educational experiences)
-Work or educational experience with university data systems or similar data systems from other complex organizations (public sector, non-profit, corporate)
-Portfolio of products from previous jobs or educational experiences that demonstrates descriptive analysis, statistical analysis, data science, and/or data visualization
-Portfolio of high quality work produced with Tableau, PowerBI, R, Python, SQL or other data management, analysis, and visualization platforms
-Knowledge of higher education theory and best practice related to academics; enrollment management; student success, wellbeing, and engagement; finance; administration; human resources; information technology; and diversity, equity, and inclusion
-Demonstrated experience advancing Diversity, Equity, and Inclusion and engaging in equity-minded practice
-Ability to advance the characteristics of Marianist universities including education in the family spirit; for service, justice and peace; and adaptation and change

To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.

Applicants must be currently authorized to work in the United States on a full-time basis. We will not sponsor applicants for work visas for this position.

Informed by its Catholic and Marianist mission, the University is committed to the principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, women, protected veterans, individuals with disabilities, or on the basis of race, color, national origin, religion, sex, sexual orientation or gender identity.