Remote Senior Compensation Analyst

SullivanCotter, Inc.

EE. UU.

A distancia

USD 78.000 - 117.000

Jornada completa

hace 1 hora
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Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage
401(k) and profit-sharing plans
Flexible spending accounts
PTO
Company-paid holidays
Parental leave
Continuing education sponsorship
Life and AD&D insurance
Disability coverage
Employee assistance program
Mental health support

Descripción de la vacante

SullivanCotter, Inc. is seeking a compensation analyst focused on conducting research, benchmarking roles, and evaluating total compensation programs for healthcare clients on a remote basis.

The role emphasizes data-driven insights, high-quality client experiences, and collaboration with project teams. The ideal candidate has a business degree, 2+ years in data analysis, and strong Excel/PowerPoint skills.

Formación

  • Bachelor's degree in a business-related field, preferably with finance/economics.
  • 2+ years of business-related experience with data analysis, financial modeling, and presentations.
  • Strong Excel, Word, PowerPoint skills and ability to analyze data patterns.

Responsabilidades

  • Conduct compensation analyses and position benchmarking.
  • Access market pricing, peer groups, survey analyses, and interpret compensation data.
  • Support report writing and client deliverables with accuracy.

Conocimientos

Data analysis
Financial modeling
Presentation design
Excel
Word
PowerPoint
Communication
Critical thinking
Team collaboration

Educación

Bachelor's degree in business or related field

Herramientas

Excel
Word
PowerPoint

Descripción del empleo

SullivanCotter, Inc. is seeking a compensation analyst focused on conducting research, benchmarking roles, and evaluating total compensation programs for healthcare clients on a remote basis.

The role emphasizes data-driven insights, high-quality client experiences, and collaboration with project teams. The ideal candidate has a business degree, 2+ years in data analysis, and strong Excel/PowerPoint skills.

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