Benefits Analyst: Data, Automation & Compliance

McKesson

The Woodlands (TX)

Presencial

USD 61.000 - 102.000

Tempo integral

14 dias+

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

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Benefícios oferecidos por esta vaga

Total Rewards package
Bonus opportunities

Resumo da vaga

McKesson is seeking a Benefits Analyst to support administration and continuous improvement of health and welfare benefit programs. You will partner with employees, HR, Payroll, HRIS, and vendors to ensure accurate benefit administration and positive employee experience.

The role emphasizes data analysis, process improvements, and leveraging automation and AI-enabled tools to increase efficiency and accuracy in benefits-related workflows.

Qualificações

  • Bachelor's degree or equivalent in HR/Business Administration or related field.
  • 2+ years of health and welfare benefits administration experience.
  • Strong knowledge of benefit plan designs and regulations (ERISA, COBRA, HIPAA, ACA).

Responsabilidades

  • Support day-to-day administration of health and welfare benefit programs.
  • Validate and process benefits data within Workday and supporting systems.
  • Analyze benefits data, resolve discrepancies with Payroll/HRIS/vendors.
  • Support annual enrollment activities and employee communications.

Conhecimentos

Benefits administration
Data analysis (Excel)
HRIS systems experience
Vendor management
Communication skills
Attention to detail

Formação

Bachelor's degree in HR/Business Administration or related field

Ferramentas

Workday
SAP
Oracle

Descrição da vaga

McKesson is seeking a Benefits Analyst to support administration and continuous improvement of health and welfare benefit programs. You will partner with employees, HR, Payroll, HRIS, and vendors to ensure accurate benefit administration and positive employee experience.

The role emphasizes data analysis, process improvements, and leveraging automation and AI-enabled tools to increase efficiency and accuracy in benefits-related workflows.

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