Business Intelligence Analyst

Post University is seeking a Business Intelligence Analyst to support data-informed decision making across the institution. This role involves transforming academic, enrollment, and operational data into actionable insights while working closely with both technical and non-technical stakeholders to enhance student success and operational efficiency.

Responsibilities:

• Collect, clean, structure, validate, and analyze institutional data from SIS, LMS, CRM, HRIS, financial systems, and other sources of data
• Translate complex data into actionable insights through visualizations, summaries, and presentations, making it easy for business partners to grasp the information, and ensuring the insights are accessible to non-technical audiences
• Develop and deploy predictive models to forecast enrollment, retention, student risk, course demand, and operational outcomes
• Conduct ad‑hoc studies for internal stakeholders related to program performance, student outcomes, faculty productivity, resource planning, and assessment
• Design, test, and operationalize prompts and workflows for generative AI assistants (e.g., Microsoft Copilot, Google Gemini, ChatGPT, and other AI tools) to accelerate analyses, draft summaries, and create first‑pass insights
• Identify high‑frequency manual reporting tasks that can be automated with AI (summaries, classification, entity extraction), freeing capacity for deeper analysis and stakeholder engagement
• Interact with the business to understand business processes and data flows that impact analytic solutions
• Perform root cause analysis and present findings to both technical and non-technical audiences
• Work cross‑functionally with academic deans, faculty, enrollment leaders, student support teams, and technology departments
• Provide training or consultation on data literacy, performance metrics, and dashboard interpretation
• Contribute to data governance initiatives
• Assist in creating and maintaining data pipelines, documentation, and data dictionaries
• Any additional tasks requested

Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Institutional Research, or a related field with a proven record of data analytics/data science professional experience
• Demonstrated experience with Power BI, Excel, and Statistical analysis and data modeling techniques
• Detail-oriented with strong verbal and written communication skills with the ability to convey complex concepts to technical and non-technical audiences
• Demonstrated analytical problem-solving skills with the ability to challenge the assumptions
• Ability to prioritize and manage multiple projects and deadlines in a remote work setting
• Master's degree in Data Science, Applied Analytics, Statistics, or related field
• Experience working in higher education, institutional research, enrollment management, student success analytics