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Data Analyst, EasyShip

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Amazon

Jan 21

Applications are closed

  • Job
    Full-time
    Junior Level
  • Data

Requirements

  • 1+ years of data analytics or automation experience
  • Bachelor's degree
  • Knowledge of data pipelining and extraction using SQL
  • Knowledge of SQL and Excel at a moderate or advanced level
  • Experience in data analytics or automation
  • Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

Responsibilities

  • Understand Amazon seller Services products and services and track/report business performance and problem areas using appropriate metrics.
  • Use Amazon’s tools to problem solve and validate solutions
  • Partner to define goals around key operational metrics
  • Recommend business actions based on analytical findings. Includes defining new metrics, techniques, and strategies to improve seller performance

FAQs

What is the main purpose of the Data Analyst role at EasyShip?

The main purpose of the Data Analyst role at EasyShip is to contribute to the evolution and success of the Easy Ship business by extracting actionable insights from data, monitoring key success metrics, identifying problem areas, and recommending business actions that help sellers grow and optimize on the Amazon platform.

What are the key responsibilities of the Data Analyst position?

The key responsibilities include understanding Amazon seller services products, tracking and reporting business performance, validating solutions using Amazon's tools, defining goals around key operational metrics, and recommending business actions based on analytical findings.

What are the basic qualifications required for this position?

The basic qualifications include 1+ years of data analytics or automation experience, a Bachelor's degree, knowledge of data pipelining and extraction using SQL, and proficiency in SQL and Excel at a moderate or advanced level.

Are there any preferred qualifications for the Data Analyst role?

Yes, preferred qualifications include knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions.

What tools will the Data Analyst be expected to use?

The Data Analyst will be expected to use Amazon's analytical tools as well as SQL and Excel for data analysis, extraction, and reporting.

Is experience in data analytics or automation required?

Yes, experience in data analytics or automation is required for this position.

Where is the EasyShip Data Analyst position located?

The EasyShip Data Analyst position is located in Karnataka, under the company ASSPL.

What is the culture like at Amazon according to the job description?

The culture at Amazon is described as inclusive, empowering Amazonians to deliver the best results for customers.

What should candidates do if they need workplace accommodations during the application process?

Candidates requiring workplace accommodations should visit the Amazon accommodations page at https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

What is the Job ID for this position?

The Job ID for the Data Analyst position at EasyShip is A2875418.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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