Remote Amazon Data Entry Jobs No Experience ? Part-Time

Job Summary

We are excited to announce an opening for Remote Amazon Data Entry Jobs with no experience required, offered as part-time positions at American Express. This role comes with a competitive hourly salary of $15-$20, based on performance. The working hours are flexible, setting under 4 hours per day to accommodate your schedule. Enjoy the freedom of a remote location, allowing you to... work from the comfort of your own home. In addition to a flexible work schedule, we offer a range of benefits, including health and dental insurance, paid training, and paid vacations.

Job Description

As a Remote Amazon Data Entry Specialist, you will be an essential part of our data management team, responsible for entering and maintaining accurate records and information related to Amazon products. Your attention to detail and organizational skills will directly contribute to the smooth operation of our data processing systems.

In this part-time role, you will handle a variety of tasks that support our e-commerce efforts, including but not limited to data entry, data verification, and inventory tracking. You will work closely with our team to ensure that product listings are accurate, up-to-date, and optimized for search effectiveness on Amazon.

This position is ideal for individuals looking to break into the e-commerce field without prior experience. You will receive comprehensive training to get you started and ongoing support as you grow in your role. We value diversity and inclusion, and we encourage applicants from all backgrounds to apply.

As a remote worker, you will enjoy the autonomy of managing your own schedule while meeting project deadlines. This position offers a unique opportunity to develop your skills in data entry and gain valuable experience in the online retail industry.

Requirements

1. High school diploma or equivalent.

2. Proficiency with basic computer applications such as Microsoft Office Suite (Word, Excel).

3. Excellent typing skills with a minimum speed of 40 words per minute.

4. Strong attention to detail and accuracy in data entry tasks.

5. Ability to follow instructions and work independently.

6. Good organizational skills to manage multiple tasks effectively.

7. Reliable internet connection and a personal computer to perform your job duties.

Responsibilities

1. Input and update product information into the Amazon database accurately.

2. Verify data for accuracy and completeness.

3. Monitor inventory levels and update records accordingly.

4. Assist in compiling data for reports and projects as needed.

5. Maintain confidentiality and security of sensitive information.

6. Collaborate with team members to resolve discrepancies in data.

7. Attend training sessions and team meetings to enhance your skills and knowledge.

Benefits

? Competitive hourly wage ($15-$20 per hour).

? Health and dental insurance options available after 30 days.

? Paid training to ensure your success in the role.

? Paid vacation days to promote work-life balance.

? Opportunities for advancement within the company.

? Flexible working hours to fit your schedule.

Educational Qualifications

? High school diploma or equivalent is required; further education in a related field is a plus but not mandatory.

Experience

? No prior experience in data entry or e-commerce is required; however, any experience in customer service or administrative roles can be beneficial.

Company Overview

American Express is a global financial services corporation that specializes in payment solutions and banking. Founded in 1850, we pride ourselves on delivering exceptional service and creating meaningful customer experiences. Our commitment to innovation and excellence extends to our workforce, where we strive to foster a diverse and inclusive environment. Join us at American Express, where your contributions can make an impact, and your career can flourish in a supportive and dynamic setting.

We look forward to welcoming motivated individuals to our team as we redefine the online retail landscape through accuracy and efficiency in data management!

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