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Process Improvement Specialist, Ops Eval, WWR&R

Amazon

Process Improvement Specialist, Ops Eval, WWR&R

Amazon

Bellevue, WA, USA

·

On-site

·

Full-time

·

4mo ago

Benefits & Perks

Competitive salary and equity package

401(k) matching

Team events and activities

Comprehensive health, dental, and vision insurance

Parental leave

Required Skills

Python

Node.js

JavaScript

At Amazon Worldwide Returns & Re Commerce, (WWRR), we aspire to zero: zero cost of returns, zero waste, and zero defects.
We are an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, company, and environment. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet, not just on the bottom line. WWRR includes business, product, program, operational, data, and software engineering teams, who together manage the lifecycle of returned and damaged products.
In this role, you will support the testing, pilot, and full scale launch of a product initiatives for worldwide Re Lo Operations. You will collaborate with product managers, software developers, program managers and operational partners to establish and execute pilot and launch plans, building and executing new standard operating procedures, and helping to manage the product feature backlog. This is an exciting opportunity to create and champion novel best practices, identify improvement opportunities, suggest strategies, and delight customers.

  • Key job responsibilities
  • Work closely with tech teams to support user acceptance testing (UAT) pre-launch
  • Work closely with program management and operations teams to create test and launch plans
  • Own stakeholder communication for pilot and launch status and metrics
  • Problem-solve tool/user issues
  • Manage stakeholder feature intake

Basic Qualifications

  • Bachelor's degree, or experience in an industry role
  • Knowledge of and proficiency in Excel and SQL
  • Experience in ownership of projects and communicating timelines and executing independently
  • Experience analyzing data metrics
  • Experience in problem solving and delivering results

Preferred Qualifications

  • Experience communicating technical details verbally and in writing
  • Knowledge of SQL and Excel at a moderate or advanced level
  • Prior experience in a business or operations role
    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, AZ, Phoenix - 17.00 - 30.00 USD hourly
USA, KY, Shepherdsville - 15.00 - 27.00 USD hourly
USA, TN, Nashville - 15.00 - 27.00 USD hourly
USA, TX, Dallas - 17.00 - 30.00 USD hourly
USA, TX, Plano - 17.00 - 30.00 USD hourly
USA, WA, Bellevue - 22.00 - 30.00 USD hourly

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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

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

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