Analyst or Senior Analyst (Decision Support)

University of Dayton, Ohio•Dayton, OH

15h

About The Position

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.

Requirements

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
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) (for Senior Analyst)
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 (for Senior Analyst)
A history of learning new analytic skills through projects and iteratively improving skill sets and approaches (in previous work or educational experiences) (for Senior Analyst)
Work or educational experience with data from enterprise data systems or other similarly complex data (for Senior Analyst)

Nice To Haves

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

Responsibilities

Work with stakeholders to identify critical data elements and research questions that can guide their work
Source and transform data to meet multiple requests and research questions
Create visually compelling and intuitive dashboards
Engage stakeholders in interpreting and using data to create meaningful improvement and change