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Experienced Full Stack Data Entry Specialist – Live Chat, Remote Application Development

Work from home Full-time role Hiring

Are you a highly skilled and motivated individual looking for a challenging and rewarding role in data entry and live chat support? Do you have a passion for working with large datasets and leveraging cutting-edge technologies to drive business growth? If so, we encourage you to apply for the Experienced Full Stack Data Entry Specialist position at American Express.

About American Express

American Express is a leading global payments and financial services company that provides a range of products and services to individuals, businesses, and institutions around the world. With a rich history dating back to 1850, American Express has built a reputation for excellence, innovation, and customer satisfaction. Our company culture is built on a foundation of integrity, teamwork, and a commitment to making a positive impact on the communities we serve.

Job Summary

As an Experienced Full Stack Data Entry Specialist, you will play a critical role in supporting our business growth by leveraging your technical skills and expertise to design, develop, and implement data entry solutions that drive business insights and inform strategic decision-making. This is a remote position that offers the flexibility to work from home and a competitive hourly rate of $35.

Key Responsibilities

* Collaborate closely with utility teams to outline, body, and capture commercial enterprise needs, ensuring that data entry solutions meet business requirements and drive business growth.

  • Develop and implement data entry solutions that leverage Voice of the Customer (VOC) methods and data analytics to inform business decisions and drive business growth.
  • Design and build robust data models to support data processing and standardized metric definitions, ensuring that data is accurate, reliable, and actionable.
  • Develop and implement data analytics solutions that leverage transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python) to deliver innovative solutions that drive business growth and improve customer satisfaction.
  • Provide technical guidance and support to colleagues to drive efficiency in computing programs and improve data quality.
  • Develop and implement automation tools to improve business processes and drive efficiency.
  • Collaborate with colleagues from GSN and AET to prioritize, define, increase, and review data for various use cases as part of the VOC cease-to-stop technique.

Essential Qualifications

* 3+ years of hands-on experience with Hive/Hadoop, PySpark, Python, shell scripting languages, development life cycle management, and troubleshooting understanding for data-driven tasks.

  • Experience working with Agile methodologies, including small increments of product delivery at regular intervals to business groups.
  • Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams, including dating managers and product owners.
  • Experience with data analytics and data visualization tools, including Hive, HDFS, MapReduce, and Spark.
  • Strong problem-solving skills, with the ability to analyze complex data sets and develop innovative solutions.

Preferred Qualifications

* Prior experience in customer service or data entry roles.

  • Excellent typing speed and accuracy.
  • Strong communication skills, both written and verbal.
  • Ability to multitask and prioritize in a fast-paced environment.
  • Proficiency in using computer applications and navigating online systems.
  • Flexible availability to work varying shifts as needed.

Skills and Competencies

* Strong technical skills, including experience with Hive/Hadoop, PySpark, Python, shell scripting languages, development life cycle management, and troubleshooting understanding for data-driven tasks.

  • Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.
  • Strong problem-solving skills, with the ability to analyze complex data sets and develop innovative solutions.
  • Ability to work in a fast-paced environment and prioritize multiple tasks and projects.
  • Strong analytical and critical thinking skills, with the ability to interpret complex data sets and develop actionable insights.

Career Growth Opportunities and Learning Benefits

As an Experienced Full Stack Data Entry Specialist at American Express, you will have the opportunity to develop your skills and expertise in a dynamic and supportive environment. We offer comprehensive training and support resources to help you succeed in your role and advance your career. Our company culture is built on a foundation of integrity, teamwork, and a commitment to making a positive impact on the communities we serve.

Work Environment and Company Culture

As a remote employee, you will have the flexibility to work from home and enjoy a better work-life balance. Our company culture is built on a foundation of integrity, teamwork, and a commitment to making a positive impact on the communities we serve. We prioritize the physical, financial, and intellectual health of our colleagues and their loved ones, offering a range of benefits and resources to support their well-being.

Compensation, Perks, and Benefits

* Competitive hourly rate of $35.

  • Remote work opportunity with the flexibility to work from home.
  • Access to comprehensive training and support resources.
  • Potential for career growth and advancement within American Express.
  • Eligibility for employee benefits, including healthcare, retirement plans, and more.

How to Apply

If you are a highly skilled and motivated individual looking for a challenging and rewarding role in data entry and live chat support, we encourage you to apply for the Experienced Full Stack Data Entry Specialist position at American Express. Please submit your application through our website, including your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply for this job

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