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Data Analyst, RCX

职能数据分析
级别中级
地点Bellevue, WA, United States
方式现场办公
类型全职
发布2周前
立即申请

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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关于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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge