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Amazon Sr. Compensation Consultant , WW Amazon Stores in Mexico City, Mexico

Description

As a Senior Compensation Consultant, you will be responsible for supporting the compensation needs of the Amazon Stores and Operations organization throughout LATAM region both analytical and consultant services. The incumbent will work directly with PXT Partners and Management to achieve system objectives and provide hands-on assistance related to all areas of compensation.

The successful candidate will proactively partner with client-facing PXT Partners and Business Line Management to identify and address compensation issues, and evangelize Amazon’s Total Compensation Philosophy and Strategy to the clients supported. This position is expected to represent the client’s point-of-view in key corporate compensation initiatives and the corporate point-of-view with client groups. We are looking for candidates who have the aptitude to understand our complex data, and be detailed and accurate from start to finish in developing programs and completing projects.

Key job responsibilities

  • Work with on a variety of projects including program design, analysis, budgeting, and implementation of new programs.

  • Perform deep analysis on effectiveness and competitiveness of existing compensation programs and model potential impact of alternatives and future programs.

  • Partner with regional and global compensation partners on compensation issues, and work on a variety of special compensation projects as needed.

  • Provide guidance to the business and develop creative solutions on a variety of total compensation issues including the setting of appropriate pay levels, base pay, annual incentive pay and stock compensation.

  • Consult with business on job evaluations using market data and internal evaluation.

  • Document processes and build compensation playbooks.

  • Conduct custom surveys with key industry contacts, as needed.

  • The position may also be responsible for supporting the strategy, design, policies, guidelines, and operationalization of a key concept critical to the foundation of a specific compensation program. Works to gain alignment with different constituencies and represents a common point of view across multiple stakeholders.

We are open to hiring candidates to work out of one of the following locations: Mexico City, Mexico | San Jose, Costa Rica | Sao Paulo, Brazil.

About the team

Inclusive team culture

At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work Life Balance

We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional.

Basic Qualifications

  • Bachelor’s degree or certificate of completion of studies required plus at least 8 years of professional background

  • Minimum of 5 years experience in finance, compensation, or consulting with an in-depth knowledge of core compensation terminology and best practices

  • General compensation knowledge required

  • Fluent in both, English and Spanish

Preferred Qualifications

  • Ability to work effectively with all levels of employees within the organization

  • Proficiency in Excel Macros; familiarity with SQL, Power BI, Power Pivot and Tableau experience is preferred

  • Strong problem solving, communication, and presentation skills. The ideal candidate will be well organized and confident to work independently but will be a strong team player

  • Ability to create dynamic tools and models to interpret and analyze data. Ability to connect disparate data sources and operationalize tasks. Comfortable with large data sets

  • The ability to work independently, take on responsibility, and be nimble in a fast-paced, change-oriented environment

  • Experience enhancing and/or implementing compensation systems and reporting tools

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