Slate CRM & Admissions Systems Analyst

Responsibilities

• Create and manage external-facing Slate portals for both internal and external users.
• Support SIS and third-party system integrations, including Slate/PeopleSoft data integration.
• Initiate system innovation efforts by identifying opportunities to increase efficiency and drive continuous improvement.
• Regularly review data, workflows, and user feedback to identify enhancement opportunities and implement solutions that optimize system performance.
• Ensure data integrity, security, and compliance with institutional policies through regular quality control checks and data audits.
• Collaborate with campus Slate leads to exchange ideas, share lessons learned, innovate, and adopt best practices in support of ongoing system optimization.
• Conduct ongoing staff training as new Slate features and functionality are introduced or modified.
• Monitor staff usage of Slate throughout the year to ensure consistency, accuracy, and quality standards are maintained.

Qualifications

• Bachelor’s degree and 2 years of relevant experience; or High School Diploma (or equivalent) and 6 years of relevant work experience in lieu of degree, or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6).
• Admissions experience in a higher education environment, with a strong understanding of recruitment, operations, and communications workflows.
• At least 2 years of demonstrated experience working with Slate CRM, including development and support of, Slate portals, portal flows, forms, and automated communications, reports, dashboards, complex queries, event registration and visit management functionality.
• Proven experience supporting or managing data integrations between systems, such as Slate and PeopleSoft.
• Strong background in data management and continuous data analysis, including data validation, quality control, troubleshooting in a production environment, ensuring data integrity, accuracy, and consistency across systems.
• Demonstrated ability to support continuous improvement and operational efficiency through system optimization and data-driven decision making.