Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
About the role
- Executive Director leading analytics initiatives to advance student success and institutional performance at Excelsior University. Overseeing a team of data scientists and translating data into actionable strategy.
Responsibilities
- Provide strategic leadership for analytics initiatives across Academic Affairs and Transformative Partnerships.
- Lead, mentor, and develop a team of three data scientists and analysts.
- Serve as primary liaison to Academic Affairs on student success, curriculum design, and faculty analytics.
- Serve as primary liaison to Transformative Partnerships on market growth, enrollment trends, and partner performance.
- Design and oversee predictive and prescriptive analytics models to inform institutional strategy.
- Translate data insights into clear, actionable recommendations for senior leaders.
- Partner with institutional leaders to define KPIs and success metrics.
- Ensure analytical outputs are methodologically sound, interpretable, and aligned with Excelsior’s equity and innovation goals.
- Advance Excelsior’s AI and decision-intelligence strategy in collaboration with the Chief Analytics Officer.
- Promote data literacy and evidence-based decision-making across the university.
- Maintain high standards of data governance, privacy, and integrity.
- Foster a culture of collaboration, innovation, and continuous improvement.
Requirements
- Master’s degree in Data Science, Operations Research, Statistics, Economics, Business Analytics, or a related field (or equivalent experience).
- At least 10 years of progressively responsible experience in analytics or data science, including 3+ years in leadership.
- Demonstrated success translating analytical insights into strategy for non-technical audiences.
- Proven experience managing and mentoring analytical teams.
- Strong technical knowledge of predictive modeling, data visualization, and experimental design.
- Excellent communication, collaboration, and organizational skills.
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