Advanced Specialist, Insights

PVS is a growing K-12 public virtual school network serving students across the US, committed to delivering high-quality, flexible education to learners of all backgrounds. As we scale our enrollment, we are seeking a data-driven and student-focused Retention Analyst to help us understand, predict, and improve student persistence and engagement throughout the academic year. The Advanced Specialist - Insights will sit at the intersection of data, student success, and operations - translating enrollment and engagement data into actionable strategies that keep students on track and connected to our virtual learning community. What You’ll Own

• Build and maintain dashboards and reports tracking student enrollment, attendance, engagement, and attrition trends across grade levels and demographics.

• Develop predictive models to identify at-risk students before they disenroll, enabling proactive outreach by counselors and support staff.

• Partner with Student Success, Enrollment, and Academic teams to design and evaluate retention interventions and re-engagement campaigns.

• Analyze root causes of student withdrawal, including conducting exit surveys and synthesizing qualitative and quantitative data.

• Monitor early warning indicators (login frequency, assignment completion, grade trends) and surface insights to school leadership.

• Present retention findings and recommendations to senior leadership and school administrators on a regular cadence.

• Collaborate with the technology and data engineering teams to ensure accurate, accessible data pipelines from the SIS and LMS platforms.

• Contribute to annual strategic planning by forecasting retention.

• Bachelor’s degree in Data Science, Education, Statistics, Business Analytics, or a related field; Master’s degree preferred.

• 3+ years of experience in data analysis, preferably within K-12 education, EdTech, or a student-facing organization.

• Proficiency in SQL and at least one analytics or visualization platform (Tableau, Power BI, Looker, or equivalent).

• Experience with predictive modeling and statistical analysis (Python or R a strong plus).

• Strong ability to communicate data findings clearly to non-technical stakeholders.

• Detail-oriented with the ability to manage multiple projects and priorities in a fast-paced environment.

Preferred Qualifications

• Experience working in a virtual or hybrid K-12 school environment.