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HR Specialist, Workforce Solutions - Relocation Services

Amazon

HR Specialist, Workforce Solutions - Relocation Services

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1w ago

  • Shape Amazon's future through our Workforce Solutions

  • Relocation team! As part of this dynamic organization, you'll be at the forefront of creating innovative relocation experiences and developing impactful, yet lightweight global solutions that are critical to Amazon's growth and customers. In this role, you'll immerse yourself in every facet of the relocation and assignment lifecycle. Your contributions will be integral to crafting robust relocation support and user-friendly products that empower Amazon to excel in attracting the world's top talent. We're seeking a self-driven professional with strong communication skills who can deliver high-quality results in our fast-paced environment.

  • Key job responsibilities

  • Support customer inquiries by providing clear, accurate solutions while ensuring customer satisfaction

  • Manage complex cases that require advanced policy interpretation, exceptions, and specialized problem-solving

  • Oversee assignments from initiation through completion

  • Serve as primary point of contact for assignees throughout their assignment lifecycle

  • Communicate with business leaders on assignment questions, logistics, and policy matters

  • Ideate, propose, and contribute to program enhancements and special projects and serve as subject matter expert for emerging program needs

  • Design and implement high-impact solutions, strategies, and mechanisms that improve the employee and stakeholder experience

  • Provide subject matter expertise and guidance to internal partners, fostering a culture of continuous learning and curiosity

  • Develop communications and change management plans, and coordinate with cross-functional stakeholders on program initiatives

A day in the life
You will work closely with stakeholders and team leaders to define strategies, customer experiences, and continuous improvements for our program. This includes policies (eligibility, benefits, guardrails), vendor performance, contacts and escalations.

You will contribute to and lead initiatives to eliminate manual work and leverage automation and AI to deliver continuous improvement opportunities for our customers. Your ability to balance analytical thinking with practical execution will help drive improvements in our processes and deliver results for our customers.

About the team
Workforce Solutions (WS) empowers our customers by providing integrated, people-focused solutions that streamline hiring processes for WW Stores, AWS, Devices, and Talent Acquisition. As stewards of the employee lifecycle and experience, we drive initiatives that promote transparency and efficiency in career mobility, workforce engagement, and operational needs management. We prioritize customer-centricity by tailoring our capabilities and processes to align with their preferences and behaviors. Our approach is to start with the customer's needs and match individuals to the right opportunities through our services.

Basic Qualifications

  • Bachelor's degree, or 2+ years of Amazon (blue badge/FTE) experience
  • Knowledge of Microsoft Office products and applications
  • Experience working within a global company, with multi-country responsibilities
  • Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels
  • Experience managing confidential and sensitive employee information and adherence to strict confidentiality standards

Preferred Qualifications

  • Experience developing policies and supporting documentation
  • Experience demonstrating strong analytical abilities and confidence in the use of data
  • Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 80,400.00 - 112,500.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge