Internship: Quality Analyst HRS
Amazon
Hyderabad, India
6d ago
source : Wizbii

About AMAZON.com

Many of the problems we face have no textbook solution, and so we-happily-invent new ones. Jeff Bezos

Amazon.com a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers.

A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry.

We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.

Technological innovation drives the growth of Amazon, offering our customers more selection, convenient shopping, and low prices.

Amazon Web Services provides developers and small to large businesses access to the horizontally scalable state of the art cloud infrastructure like S3, EC2, AMI, Cloud Front and Simple DB, that powers Amazon.

com. Developers can build any type of business on Amazon Web Services and scale their application with growing business needs.

We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA.

We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.

Job Description :

Amazon.com is looking for a Quality analyst to support Data Management and Data Management Leaves . The Quality Specialist will dive deep into these services to provide research and root cause analysis and develop solutions to eliminate the error.

The preferred candidate will have experience across Data Management and Data Management Leaves. The role supports subject matter experts in end-end HR processes, policies, and standard work, along with system tools, resources, and established learning platforms to constantly improve processes and compliance for service delivery for a frustration-free experience.

The role is responsible for adoption of standard work, systems, and learning within the defined regions. The role will establish, train, mentor, and work with field employees to ensure adoption of new processes, standard work, and systems.

On a regular basis this role will require demonstrated proficiency in change and transition management, identification of gaps in standard work for resolution, and expert knowledge in HRS SD programs to lead and influence adoption within Amazon.

Key areas of responsibility :

  • Responsible to provide deep dive research and analysis for HRS-SD Escalations.
  • Analyze survey reports and do a Dive Deep analysis on the root cause. Provide biweekly feedback to associate to improve overall team's performance and reduce learning curve
  • Able to work within areas of ambiguity and address for the short-term to create standard work and partner with the manager and leads to establish a long-term solution
  • Conduct refresher training, educate, and mentor internal team members on tools and resources for adoption within daily work based on quality trends identified
  • Coordinate with the internal team resources of compliance, audit and quality, and delivery to ensure high standards for frustration free experience
  • Perform internal and external audit of data for accuracy and integrity
  • Match findings with data information in the system for the right outcome
  • Understand impacts of defects and how these will impact internal / external interfaces and teams
  • Continually strive to improve efficiency and effectiveness of existing systems / process
  • Communicate written analysis of dive deep results and information to leads and managers
  • Track, measure and report Quality metrics at different intervals to ascertain the process performance health and identify improvement areas
  • Demonstrate highest degree of discretion and confidentiality.
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