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Process Improvement Specialist , EU FBA

Amazon

Process Improvement Specialist , EU FBA

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Learning Budget

Learning

Required Skills

Data analysis

Communication

Analytical skills

Project management

Amazon currently seeks a creative, dynamic, and experienced Process Improvement Specialist to join our EU FBA Support Operations team and contribute to our organization's transformation through AI implementation and automation initiatives. This role will support strategic change management, drive process improvement projects, and contribute to our Learning & Development programs while helping integrate AI solutions across our operations. A successful candidate must be able to work independently, thrive in ambiguous environments, effectively collaborate with internal/external partners at all levels of the organization, and continuously develop their professional skills. This role will particularly suit someone with a strong innovative mindset, analytical capabilities, operational excellence, and solid project management skills.

Some of the qualities that we are looking for: you are results-oriented (and have a track record of delivering great results); you are an innovator (and have proven it); you have the intellect and analytical skills to solve complex problems; you take ownership and do what it takes to make your team successful; you have high standards; you are customer obsessed; you operate well in an ambiguous environment; and finally, you have a burning desire to be a part of something really big.

  • Key job responsibilities
  • Support development and implementation of Automation prototypes through data-driven analysis by coordinating with wider organization and tracking progress
  • Identify and implement sustainable improvements for operational excellence using Lean/Six Sigma methodologies
  • Execute strategic projects that deliver improvements in Seller Experience, productivity, and lowest cost-to-serve for Selling Partners and Amazon
  • Collaborate with program stakeholders to clarify requirements and objectives. Support writing business and technical requirements documents
  • Support establishment of business goals, metrics and key performance indicators (KPI) for success
  • Build relationships with key stakeholders across global product, program and operational teams to support scalable solutions
  • Conduct User Acceptance Testing (UAT) and validate process improvements before implementation

A day in the life
A typical day for an EU FBA Process Improvement Specialist will focus on executing AI implementation and automation initiatives to improve Seller Experience and reduce Cost to Serve for Sellers and for Amazon, analyzing data to drive efficiency improvements, and collaborating with global teams to enhance seller services. They'll split their time between identifying process gaps, performing UATs, implementing process improvements using Lean/Six Sigma methods, and developing Automation solutions to reduce costs while improving service quality for Amazon's selling partners.

About the team
Today, over 60% of worldwide purchases on Amazon are for products from third-party businesses, mostly from Small- and Medium-sized businesses. Fulfillment by Amazon (FBA) enables these businesses (our Selling Partners) to hand over the heavy lifting of warehousing, payment processing, delivery returns and customer service to Amazon, utilizing the capabilities that Amazon has built over the last 25+ years.

Basic Qualifications

  • Bachelor's degree or equivalent work experience in Business, Engineering, Supply Chain, Transportation, Mathematics, Economics, Physics or another technical field
  • Experience in data analysis and reporting
  • Bachelor's degree, or MBA in supply chain management, operations, engineering, analytics or related field
  • Experience in English-language communication skills, both written and verbal
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in technical support

Preferred Qualifications

  • Master's degree in Engineering (any domain) or foreign equivalent, Operations, Business Administration, or a related field
  • Knowledge of data analytics with tools such as Tableau, SQL, Quick-sight
  • 1+ years of integration, testing and automation experience, or degree in advanced technology
  • 1+ years of Amazon experience, or experience with AWS services or other cloud offerings
  • Knowledge of Six Sigma tools, Lean techniques, PMP or similar standards preferred
  • Experience using lean process improvement, six sigma methodologies, or related performance metrics/process improvements to increase efficiency within processes, forecasting, planning, optimization, or logistics

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.

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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