Overview

The Data Analyst will analyze large amounts of data, discover and solve real world problems; and build metrics, business cases, and standard reports around key Customer Service initiatives. The successful candidate will be highly analytical, have an extremely high level of customer focus and passion for process improvement, and demonstrate the ability to execute the required skills, influence, educate, and drive results in a fast paced, ambiguous environment.

The Data Analyst will support site operations and continuous improvement through rigorous analysis to drive critical organizational decisions.

Key responsibilities include:

  • Ad hoc data retrieval and analysis using SQL, Python, Excel and other data management systems.
  • Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions..
  • Supporting cross-functional teams on the day-to-day execution of projects and initiatives.
  • Driving projects that help build Amazon into the most customer-centric platform.
  • Developing requirements and specifications with business and development teams.
  • Analyzing, diagnosing, and recommending required changes to optimize the work from home experience for customers and employees

BASIC QUALIFICATIONS

  • Bachelor’s degree required (majors in Business, Engineering, Statistics, Computer Science, Mathematics or related field strongly preferred)
  • Proficient with Python (or other scripting language), Excel, and SQL
  • Experience leading small to medium sized projects involving complex data sets and high variability
  • Candidates must be located in an approved Virtual Contact Center state: Alaska, Arizona, Connecticut, Delaware, Florida, Georgia, Indiana, Kansas, Kentucky, Massachusetts, Minnesota, Montana, Nevada, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Pennsylvania, Tennessee, Texas, Virginia, West Virginia, Wisconsin

PREFERRED QUALIFICATIONS

  • Demonstrated ability to explain technical analyses to non-technical stakeholders through written narratives and verbal communication
  • Strong data visualization skills
  • Has created and delivered a production grade optimization model with demonstrated business value
  • Graduate level mathematics, statistics, econometrics, or machine-learning background
  • Fluent in Python for scientific computing (pandas, scikit-learn, numpy, matplotlib, statsmodels etc.)
  • Experience leading large projects with many stakeholders across different teams

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

About Amazon

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform.

Founded by Jeff Bezos, the Amazon.com website started in 1995 as a place to buy books because of the unique customer experience the Web could offer book lovers. Bezos believed that only the Internet could offer customers the convenience of browsing a selection of millions of book titles in a single sitting. During the first 30 days of business, Amazon fulfilled orders for customers in 50 states and 45 countries - all shipped from his Seattle-area garage.

Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.

We're a company of pioneers. It's our job to make bold bets, and we get our energy from inventing on behalf of customers. Success is measured against the possible, not the probable. For today’s pioneers, that’s exactly why there’s no place on Earth they’d rather build than Amazon.

We are a company of builders who bring varying backgrounds, ideas, and points of view to inventing on behalf of our customers. Our diverse perspectives come from many sources including gender, race, age, national origin, sexual orientation, culture, education, as well as professional and life experience. We are working to develop leaders and shape future talent pools to help us meet the needs of our customers around the world.