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Afternoon Amazon Customer Service Representative Jobs

Economist, Amazon Customer Service

Seattle, WA · On-site

$18.25 - $24.75/hr

Amazon Customer Service (CS) Data Intelligence builds the data and Artificial Intelligence (AI) foundations for CS to ensure Amazon delivers the best customer service possible. CS Economics sits ...

Economist, Amazon Customer Service

Seattle, WA · On-site

$18.25 - $24.75/hr

Amazon Customer Service (CS) Data Intelligence builds the data and Artificial Intelligence (AI) foundations for CS to ensure Amazon delivers the best customer service possible. CS Economics sits ...

... Rep/Administrative Assistant for our of our clients in Pompano Beach. The ideal candidate will be ... Respond to Amazon customer service messages promptly and professionally. * Process customer refunds ...

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Afternoon Amazon Customer Service Representative information

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$9

$18

$26

How much do afternoon amazon customer service representative jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for afternoon amazon customer service representative in the United States is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $20.91 per hour, depending on experience, location, and employer.

What is an afternoon Amazon customer service representative?

Afternoon Amazon Customer Service Representatives are employees who assist Amazon customers with their inquiries, issues, and orders during afternoon shifts. Their responsibilities include answering questions about products, processing returns or refunds, and resolving delivery problems, primarily via phone, chat, or email. Working the afternoon shift, they help ensure customer support is available beyond typical business hours, contributing to Amazon’s 24/7 customer service. These representatives need strong communication and problem-solving skills to provide a positive shopping experience for customers.

What skills and qualifications are needed to be an afternoon Amazon customer service representative?

To thrive as an Afternoon Amazon Customer Service Representative, you need strong problem-solving abilities, clear communication skills, and typically a high school diploma or equivalent. Familiarity with customer service platforms, CRM systems, and Amazon's internal support tools is important. Outstanding patience, active listening, and the ability to remain calm under pressure are key soft skills for excelling in this role. These skills ensure customer satisfaction, efficient issue resolution, and uphold Amazon’s reputation for exceptional service during peak afternoon hours.

What challenges do afternoon Amazon customer service representatives face and how can they be managed?

Afternoon Amazon Customer Service Representatives often encounter high volumes of inquiries as they cover busy periods when customers expect quick resolutions. Common challenges include handling multiple customer issues simultaneously, resolving concerns efficiently, and maintaining a positive attitude during peak hours. Effective time management, familiarity with Amazon’s support systems, and strong communication skills help representatives stay organized and deliver excellent service. Team leads and supervisors are typically available for guidance, and ongoing training ensures new reps are equipped to handle evolving customer needs.

What is the difference between Afternoon Amazon Customer Service Representative vs Evening Amazon Customer Service Representative?

AspectAfternoon Amazon Customer Service RepresentativeEvening Amazon Customer Service Representative
Work HoursTypically 12 PM to 8 PMTypically 4 PM to 12 AM
Required CredentialsHigh school diploma or equivalent, customer service experienceHigh school diploma or equivalent, customer service experience
Work EnvironmentCall centers or remote work with team collaborationCall centers or remote work with team collaboration
Employer UsageAmazon's customer service team during daytime hoursAmazon's customer service team during evening hours

The main difference between an Afternoon Amazon Customer Service Representative and an Evening Amazon Customer Service Representative lies in their work hours. Both roles require similar credentials and work in comparable environments, but they serve different shifts to ensure 24/7 customer support for Amazon. Your choice depends on your preferred working hours and schedule flexibility.

What cities are hiring for Afternoon Amazon Customer Service Representative jobs?

Cities with the most Afternoon Amazon Customer Service Representative job openings:

What are the most commonly searched types of Amazon Customer Service Representative jobs?

The most popular types of Amazon Customer Service Representative jobs are:

What states have the most Afternoon Amazon Customer Service Representative jobs?

States with the most job openings for Afternoon Amazon Customer Service Representative jobs include:

Economist, Amazon Customer Service

Amazon

Seattle, WA • On-site

$18.25 - $24.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Customer Service (CS) Data Intelligence builds the data and Artificial Intelligence (AI) foundations for CS to ensure Amazon delivers the best customer service possible. CS Economics sits within CS DI and contributes to the CS knowledge base and decision frameworks.
CS Economics seeks economists to apply economic methods to solve business problems. The ideal candidate will work with engineers and applied scientists to design models that leverage large scale and unstructured data, design scalable agents for non-tech CS partners to understand the impact of their actions, and propose mechanism designs to robustly match customers to our services. CS Economics is looking for optimistic critical-thinkers who combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.
Ideal candidates enjoy working in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.
Key job responsibilities
- Design and conduct rigorous evaluations of CS actions
- Develop experiments to evaluate product launches
- Communicate complex findings to business stakeholders in clear, actionable terms
- Work with engineering teams to develop scalable tools that automate and streamline evaluation processes
A day in the life
Work with teammates to apply economic methods to business problems, e.g., identify the appropriate research question and identification strategy, write code to estimate heterogeneous treatment effects or conduct experiment analysis, write and present a document with findings to business leaders. We collaborate with partner teams within and outside of CS throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.
About the team
Amazon Customer Service (CS) Economics provides estimates and measures of the causal impact of CS actions on costs and benefits. We build agents and guide leadership to establish processes to scale valid experimentation, causal inference, and mechanism design.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
PREFERRED QUALIFICATIONS
- 2+ years of industry, consulting, government, or academic research experience
- Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets
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 - 136,000.00 - 184,000.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US