Advanced Specialist, Insights
Pearson · United States
- Hybrid
- Full-time
- $100,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Analyze student data to improve retention and engagement.
- Build dashboards and predictive models for at-risk students.
- Collaborate with teams on retention interventions.
- Analyze withdrawal reasons and monitor early indicators.
- Present findings to senior leadership and administrators.
About the role
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.
About You
- 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.
- Familiarity with Learning Management Systems (LMS) such as Canvas, Schoology, or Brightspace.
- Familiarity with Student Information Systems (SIS) such as PowerSchool, Infinite Campus, or similar platforms.
- Experience building early warning systems or churn prediction models in an educational context.
Key skills/competency
- Data Analysis
- SQL
- Tableau
- Power BI
- Looker
- Predictive Modeling
- Statistical Analysis
- Python
- R
- Student Retention
Skills & topics
- Data Analysis
- SQL
- Tableau
- Power BI
- Looker
- Predictive Modeling
- Statistical Analysis
- Python
- R
- Student Retention
- K-12 Education
- EdTech
- Virtual Learning
- Data Science
- Business Analytics
- Insights
How to get hired
- Tailor your resume: Highlight your data analysis, SQL, and predictive modeling experience.
- Showcase education focus: Emphasize any K-12, EdTech, or student-facing organization experience.
- Prepare for data questions: Be ready to discuss your analytical process and how you communicate insights.
- Demonstrate technical skills: Practice SQL queries and be prepared to discuss Tableau/Power BI/Looker.
- Research Pearson's mission: Understand their commitment to lifelong learning and student success.
Technical preparation
Master SQL for data extraction and analysis.,Practice building dashboards in Tableau or Power BI.,Review predictive modeling and statistical techniques.,Familiarize with Python or R for data science.
Behavioral questions
Describe a time you analyzed complex data.,How do you communicate technical findings clearly?,Tell me about managing multiple priorities.,How have you influenced stakeholders with data?
Frequently asked questions
- What specific data analysis skills are most crucial for the Advanced Specialist, Insights role at Pearson?
- For the Advanced Specialist, Insights position at Pearson, strong proficiency in SQL is essential for data extraction and manipulation. Experience with visualization tools like Tableau, Power BI, or Looker is also critical for reporting and dashboard creation. Furthermore, skills in predictive modeling and statistical analysis, ideally with Python or R, are highly valued for identifying at-risk students and forecasting retention trends.
- How does Pearson utilize insights from this role to improve student success in their virtual schools?
- Pearson leverages insights from this role to proactively identify and support students at risk of disenrollment. By analyzing enrollment, engagement, and early warning indicators, the company can implement targeted interventions and re-engagement campaigns. This data-driven approach aims to improve student persistence, ensure academic success, and foster a connected virtual learning community.
- What is the expected impact of the Advanced Specialist, Insights on Pearson's virtual school network?
- The Advanced Specialist, Insights is expected to significantly impact Pearson's virtual school network by driving student retention and engagement. Through predictive modeling and data analysis, this role enables proactive support for at-risk students, leading to improved educational outcomes and a stronger virtual learning community. The insights generated will also inform strategic planning and the development of effective retention strategies.
- Can you provide examples of 'early warning indicators' mentioned for the Advanced Specialist, Insights role?
- Early warning indicators for the Advanced Specialist, Insights role typically include metrics that suggest a student may be struggling or disengaging. These can encompass factors like decreased login frequency to the LMS, consistently late or incomplete assignments, declining grades, or reduced participation in online activities. Monitoring these indicators allows for timely intervention.
- What kind of collaboration can an Advanced Specialist, Insights expect with other teams at Pearson?
- An Advanced Specialist, Insights at Pearson can expect to collaborate closely with Student Success, Enrollment, and Academic teams to design and evaluate retention strategies. They will also work with technology and data engineering teams to ensure data integrity and accessibility from SIS and LMS platforms. Regular communication with school leadership and senior administrators for reporting and strategic planning is also key.