Senior Benefits Analyst (Edtech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Benefits Analyst (Edtech): Leading the financial oversight and operational effectiveness of benefits programs with an accent on self-insured medical plan management and monthly reconciliations. Focus on driving data-informed decisions, ensuring regulatory compliance, and optimizing cost structures across all benefit plans.
Location: Must be based in the United States
Company
is a leading edtech organization providing curriculum, assessment, and professional development resources for early childhood education.
What you will do
- Lead monthly benefits reconciliations across medical, dental, vision, FSA/HSA, and 401(k) plans.
- Manage financial and operational oversight of the company’s self-insured medical plan.
- Analyze claims data, stop-loss coverage, and funding levels to identify cost-saving opportunities.
- Partner with Finance and Payroll to ensure accurate deductions, contributions, and vendor billing.
- Build dashboards and reports to provide visibility into benefits performance and utilization trends.
- Ensure compliance with ERISA, ACA, HIPAA, and COBRA regulations.
Requirements
- Bachelor’s degree in Finance, Accounting, HR, or a related field.
- 5–8+ years of experience in benefits administration with a focus on financial analysis.
- Proven experience managing or supporting self-insured health plans is required.
- Advanced Excel skills including pivot tables and complex lookups.
- Experience working with HRIS and payroll systems such as Rippling, Dayforce, or ADP.
- Strong understanding of benefits compliance and regulatory requirements.
Nice to have
- CEBS or other relevant professional certifications.
- Experience with IBNR (Incurred But Not Reported) claims analysis.
- Experience with stop-loss insurance and claims analytics.
Culture & Benefits
- Collaborative, results-oriented work environment.
- Opportunity to impact the early childhood education field.
- Focus on professional growth and data-driven decision-making.
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