Advanced Specialist, Insights
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Job description
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.
Requirements
- 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).
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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., * 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.
Ready to make an Impact?, Designs and engineers secure network and cloud architectures across AWS, GCP, Azure, and physical data centers. Responsibilities include threat modeling, network segmentation, monitoring, alerting, automation, attack-surface reduction, and secure connection patterns. The role drives strategic security improvements, partners with product and infrastructure teams, communicates architectural decisions, and mentors engineers. Candidates need deep hybrid networking and cloud security expertise, protocol knowledge, scripting ability, independent problem-solving skills, and strong communication. Top Skills: AIApplied CryptographyAWSAzureCi/CdDnsGCPGoHttp/SHybrid Cloud NetworkingPrivate EndpointsPythonService MeshesShell ScriptingTcp/IpTlsTransit GatewaysVpcsZero Trust Architecture
Benefits & conditions
Remote Hiring Remotely in United States 90K-110K Annually Mid level Remote Hiring Remotely in United States 90K-110K Annually Mid level Build dashboards and reports tracking enrollment, attendance, engagement, and attrition. Develop predictive models to identify at-risk students, analyze withdrawal causes, monitor early-warning indicators, partner with cross-functional teams to design retention interventions, and present insights to leadership while supporting data pipeline accuracy. The summary above was generated by AI, The full-time salary range for this role is $90,000 - $110,000., United States Easy Apply 150K-170K Annually Mid level 150K-170K Annually Mid level Artificial Intelligence * eCommerce * Fintech * Payments * Retail * Software * Analytics Own the end-to-end data onboarding product roadmap, including legacy POS extraction, transformation, validation, internal tooling, and customer-facing onboarding experiences. Drive automation, improve install readiness and specialist efficiency, define product requirements and metrics, and develop a path toward self-service onboarding. Partner with engineering, onboarding, go-to-market, and customers while planning for scale and using AI tools to accelerate discovery and workflow automation. Top Skills: Ai ToolingClaudeData ConversionData MigrationE-CommerceETLPayments PlatformsPos Systems CrowdStrike, 115K-160K Annually Senior level 115K-160K Annually Senior level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Deliver generative AI-enabled source code review and application security engagements. Coordinate with leadership, organize resources, refine and present assessment findings, document recommendations, and mentor junior red team members. Support penetration testing projects, including external and web application testing, while managing engagement delivery and improving security assessment technologies and workflows. Top Skills: AutomationBurp SuiteGenerative AiNessusScriptingSource Code Review
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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About the company
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
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