DescriptionThe Senior Strategic Data Analyst drives institutional success by transforming raw data into actionable strategic insights. This role designs complex data architecture, develops predictive analytics, and builds enterprise-level dashboards. The primary focus is providing the Muma College of Business with necessary data and monitoring and forecasting key performance indicators (KPIs) related to student success and Florida State University System performance metrics.
ResponsibilitiesStrategic Plan KPI Dashboards and Analytics Development
• Build, publish, and maintain interactive enterprise-level visualization dashboards.
• Translate complex institutional data into clean, understandable visual narratives.
• Provide leadership and stakeholders with real-time access to strategic data.
• Establish automated workflows for continuous dashboard data updates.
Advanced Data Extraction and Querying
• Write, optimize, and maintain complex, end-to-end SQL queries.
• Extract data from student, human resources, and financial information systems.
• Blend cross-functional data to uncover institutional correlations and efficiencies.
• Ensure data integrity, consistency, and security across all query models.
Predictive Modeling and Strategic Forecasting
• Develop predictive models to anticipate performance outcomes and trends.
• Identify potential shortfalls in state and institutional metrics well in advance.
• Recommend data-driven, proactive interventions to ensure college success.
• Conduct scenario modeling to assess the impact of proposed policy changes.
• Maintain expert knowledge of the Florida State University System Performance-Based Funding (PBF) model and Preeminent metrics.
• Monitor critical undergraduate and graduate student success and retention metrics.
• Present complex analytical findings clearly to executive leadership and board members.
• Document data definitions, query logic, and dashboard methodologies thoroughly.
Cross-Level University and MCOB Constituent Engagement and Collaboration
• Partner with institutional constituents at all levels, including executive leadership, faculty, and administrative staff.
• Facilitate discovery sessions with diverse stakeholders to capture business requirements.
• Adapt communication style to effectively collaborate with both highly technical IT staff and non-technical academic leaders.
• Serve as a trusted advisor across departments to promote a culture of data-informed decision-making.
QualificationsRequired Education and Experience
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field.
• Five (5) years of experience in data management, business intelligence, or institutional resea