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Data Analyst, RCX

RoleData Analytics
LevelMid Level
LocationBellevue, WA, United States
WorkOn-site
TypeFull-time
Posted2 weeks ago
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We are looking for an experienced Data Analyst to join the Returns Customer Experience team to help unlock insights which take our team to the next level. The ideal candidate will be excited about understanding and implementing new and repeatable processes, while providing data to improve the Returns transportation business. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution. They will partner with various key stakeholders to deep dive into the business challenges and data to identify insights, providing recommendations for process improvement on a globally scalable level. This role requires an individual with excellent analytical abilities as well as strong business acumen.

Key job responsibilities
-Retrieving and analyzing data using Excel, SQL, and other data management systems
-Monitoring existing metrics, analyzing data and partnering with internal/external teams to identify process and system improvement opportunities
-Design, develop and maintain scalable, automated, user-friendly systems, reports, or dashboards to enable stakeholders to manage the business and drive effective decisions
-Prepare and deliver business requirements reviews to leadership teams
-Excellent writing skills, to create artifacts easily digestible by business and tech partners.
-Be self-driven, and show ability to deliver on ambiguous projects with incomplete data

About the team
At Amazon Worldwide Returns & Re Commerce (WW R&R), 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. WW R&R includes business, product, program, operational, data, and software engineering teams, who together manage the lifecycle of returned and damaged products.

Basic Qualifications

  • Bachelor's degree or equivalent work experience in Business, Engineering, Supply Chain, Transportation, Mathematics, Economics, Physics or another technical field
  • Experience performing data analysis using MS Excel and other Microsoft Office tools

Preferred Qualifications

  • Experience working with the MS Office suite (Word, Excel, Outlook) and/or SQL in a professional 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, BELLEVUE - 28.00 - 43.00 USD hourly
USA, WA, Bellevue - 28.00 - 43.00 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

$1.5T

Valuation

Reviews

10 reviews

3.4

10 reviews

Work-life balance

2.5

Compensation

4.2

Culture

3.0

Career

3.8

Management

2.7

65%

Recommend to a friend

Pros

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

Cons

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

Salary Ranges

4 data points

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0 reports

$108,330

total per year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview experience

6 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 17%

Negative 83%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge