Senior Strategic Data Analyst

University of South Florida•Tampa, FL

15h•$90,000 - $96,000

About The Position

The Senior Strategic Data Analyst supports institutional success by transforming raw data into strategic insights for the Muma College of Business. The role designs data architecture, develops predictive analytics, and builds enterprise-level dashboards, with a focus on monitoring and forecasting student-success KPIs and Florida State University System performance metrics. The analyst provides leaders and stakeholders with accessible strategic data, develops automated dashboard-update workflows, and extracts and blends information from student, human resources, and financial systems. The position also develops predictive models, conducts scenario analyses, identifies potential performance shortfalls, and recommends proactive interventions. It requires collaboration with university constituents at all levels and clear communication of analytical findings to executive leadership, board members, technical staff, and academic leaders. The position requires a bachelor’s degree in a relevant field or qualifying experience under the stated degree-equivalency clause, at least five years of relevant experience, advanced SQL proficiency, production dashboard experience, stakeholder collaboration experience, and experience with predictive analytics or statistical programming. A master’s degree, Florida State University System experience, and familiarity with Banner and OracleHR or equivalent higher-education ERP systems are preferred. The posting states that this is not a visa-supporting position.

Requirements

Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field; the posting also provides a degree-equivalency clause allowing four years of direct experience in place of a bachelor’s degree, subject to stated conditions.
Five years of experience in data management, business intelligence, or institutional research.
Expert-level proficiency writing complete, advanced SQL queries from scratch.
Proven experience building production-level dashboards in Tableau, Power BI, or similar tools.
Demonstrated experience collaborating successfully with institutional stakeholders at multiple levels.
Experience using predictive analytics tools or statistical programming such as Python or R.

Nice To Haves

Master’s degree in Data Analytics, Computer Science, Statistics, or a related field.
Prior experience working within the Florida State University System.
Deep familiarity with Banner and OracleHR, or equivalent higher-education ERP systems.
The posting lists three years of experience in data management, business intelligence, or institutional research under Preferred Experience.

Responsibilities

Build, publish, and maintain interactive enterprise-level visualization dashboards.
Translate complex institutional data into clear visual narratives and provide leadership and stakeholders with real-time access to strategic data.
Establish automated workflows for continuous dashboard data updates.
Write, optimize, and maintain complex end-to-end SQL queries; extract student, human resources, and financial data; and blend cross-functional data to identify correlations and efficiencies.
Ensure data integrity, consistency, and security across query models.
Develop predictive models to anticipate performance outcomes and trends, identify potential shortfalls in state and institutional metrics, and recommend proactive interventions.
Conduct scenario modeling to assess the effects of proposed policy changes.
Maintain expert knowledge of the Florida State University System Performance-Based Funding model and Preeminent metrics, and monitor undergraduate and graduate student-success and retention metrics.
Present analytical findings to executive leadership and board members, and thoroughly document data definitions, query logic, and dashboard methodologies.
Partner with executive leadership, faculty, administrative staff, and other institutional constituents; facilitate discovery sessions to capture business requirements; and adapt communication to technical and non-technical audiences.
Serve as a trusted cross-departmental advisor to promote data-informed decision-making.