Analyst or Senior Analyst (Decision Support)

Are you a great data storyteller who wants to help decision makers put insights into action? Advance evidence-informed decision making at UD in a role dedicated to engaging and impactful data analysis! Working as part of a team, the analyst will have the opportunity to explore a wide variety of university areas while contributing their ideas and skills to analyze: academics; enrollment management; student success, wellbeing, and engagement; finance; administration; human resources; information technology; and inclusive excellence. 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 or Senior Analyst produces reliable, accurate, valid, useful, engaging and impactful data analysis and visualization across a wide variety of university issues. Working as part of a team the analyst or senior analyst will:

1. Work with stakeholders to identify critical data elements and research questions that can guide their work
2. Source and transform data to meet multiple requests and research questions
3. Create visually compelling and intuitive dashboards
4. Engage stakeholders in interpreting and using data to create meaningful improvement and change Potential University topics will include but not be limited to: academics; enrollment management; student success, wellbeing, and engagement; finance; administration; human resources; information technology; and inclusive excellence.

Associates degree or higher -One year experience (or equivalent educational experience) with quantitative data analysis, research, analytics, data science, or assessment -Competency in data preparation, quantitative analysis, and data visualization -Ability to clearly and concisely present quantitative analysis in a variety of formats including dashboards, reports, and presentations -Experience managing projects -Effective written communication skills -High integrity, relationship building skills, and effective interpersonal skills -Evidence of strong organizational skills, attention to detail and accuracy, and ability to manage multiple tasks and responsibilities -Collaborative approach to work A Senior Analyst must meet all Analyst minimum qualifications in addition to the qualifications listed below. -Four years of experience (or equivalent educational experience) in institutional research, analytics, business intelligence, compliance reporting or relevant quantitative research (including conducting or teaching quantitative research in social science, education, business, or other related fields) -Experience independently completing complex analytics, research, and/or dashboard projects from start-to-finish including: identify problems and questions; accessing and preparing data; systematically exploring data; enacting analysis approaches; evaluating analysis, including limitations; developing high quality and well documented reports, dashboards, or other analytic products; engaging stakeholders with analytic products -A 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 data from enterprise data systems or other similarly complex data Preferred Qualifications:

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following: -Masters degree in related field -Portfolio of products from previous jobs or educational experiences that demonstrates descriptive analysis, statistical analysis, data science, and/or data visualization -Demonstrated ability to apply user experience and information design principles to transform complex datasets into intuitive, high-impact analytic products. -Experience utilizing business intelligence and analytics software (e.g., Tableau, Power BI) to develop interactive dashboards, create comprehensive reports, and perform ad-hoc data analysis -Experience with advanced statistical analysis (inferential, predictive, etc.) -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/or diversity, equity, and inclusion -Experience with compliance related reporting -Demonstrated experience advancing inclusive excellence -Ability to demonstrate a commitment to the distinctive characteristics of Marianist universities Special Instructions to Applicants