Salary commensurate with experience & qualifications.
This position will work within the Enrollment Management Research Group (EMRG) to assemble data reports and construct data visualizations that turn system and statistical data into meaningful information for stakeholders. Will work closely with the Division of Enrollment Services leadership to determine what information is helpful and what visual presentations are useful in decision making. Will also work closely with the Director of Institutional Research and the Associate Vice President of Enrollment Management to construct and present meaningful reports and visualizations to inform other high level decision makers, such as the Provost, President, and Board of Trustees. This position is a vital part of the University's effort to meet enrollment goals for academic quality, diversity, revenue and retention.
Convert complex data sets, statistical analyses, and results of statistical models into effective and meaningful reports, interactive displays and data visualizations, via web integration or other appropriate platform, that convey the meaning of the data-supported information in easily digestible formats for a variety of University stakeholders.
Stay current on the latest trends and needs of the enrollment management field in order to create visual displays and reports with relevance and impact to those operating in this field, as well as decision makers requiring timely information upon which decisions can be made. Maintain familiarity with the key functions and processes of the Division of Enrollment Services departments to support those teams.
Communicate effectively with operational staff about the details of their work and how to bring meaning out of those details, as well as communicate effectively with key decision makers to ensure that reports and presentations are providing information that can be appropriately used for required decisions.
Work closely with other members of the enrollment management research group to help them understand how data is being used and displayed, as well as gain insight into the meaning of the data and analyses to increase usefulness of these measures for others.
Keep abreast of the latest advances in reporting and visualization software and how those can be best leveraged by the university.
Work with others in the Office of Institutional Research to support other data reporting and data visualization needs.
Education and Experience:
Bachelor’s degree is required; Master’s degree is preferred.
Degree in the field of data science, computer science, data analytics or business analytics is preferred.
A minimum of one year work experience with integration of data, data reporting and visual displays of data, is required.
Work experience in higher education is a plus.
Experience with at least one or more visualization tools such as Tableau, Cognos, or R, is required.
Experience integrating visualization into a web based platform is required.
Experience with one or more statistical software packages such as SPSS, SAS, or Systat, is preferred.
Experience with Microsoft Office products, especially Excel, is preferred.
Work experience in a team environment is highly preferred.
Examples of work product is preferred.
Knowledge, Skills and Abilities:
Candidate must possess significant problem solving skills with the ability to identify and analyze problems as well as devise solutions. Problems are highly varied and complex, requiring new concepts and approaches.
Candidate must have strong oral communication skills, with the ability to communicate effectively with a wide range of constituencies in a diverse community. Must be able to listen well to others and be able to clearly explain data usage and reporting.
Candidate must be a team player and collaborative in working with colleagues, operational staff, and with key decision makers.
Candidate must possess excellent organizational skills that include effective planning and time management.
Must be highly accurate and attentive to details.
It is essential that the candidate be able to take constructive feedback and work in an iterative fashion.
Candidate must be able to handle sensitive information with complete confidentiality and professionalism.
Candidate must be proficient using a visualization programming language, visualization tools, statistical software, and proficient using Microsoft Office Suite.
This position must be able to sit for long periods of time and handle objects (dexterity).
This position is open until filled.
TO APPLY: Please click on link to apply or go to www.smu.jobs & select staff careers from the right-hand side menu to access the online application. Requisition ID: DIV00000019
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