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Data Analyst, EasyShip, Local Shops on Amazon

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Amazon

1mo ago

  • Job
    Full-time
    Junior Level
  • Data
    Business, Operations & Strategy

AI generated summary

  • You need 1+ years in data analytics, capacity or operations planning, a Bachelor's degree, and strong SQL and Excel skills, with experience in data mining tools like SAS or SPSS.
  • You will analyze complex business problems, automate data processes, collaborate with stakeholders, handle large datasets, and communicate insights to drive impactful business decisions.

Requirements

  • 1+ years of data analytics or automation experience
  • 1+ years of capacity planning, operations planning, business analysis or similar experience
  • Bachelor's degree
  • Knowledge of data pipelining and extraction using SQL
  • Knowledge of SQL and Excel at a moderate or advanced level
  • Experience with data mining tools like SQL, SAS, SPSS, or similar
  • Knowledge of SQL

Responsibilities

  • Translate complex business problem statements into analysis requirements and maintain high bar throughout the execution.
  • Scale data processes and reports; work on full-scale automation.
  • Proactively work with stakeholders to construct use cases and associated standardized outputs.
  • Have the capability to handle large data sets in analysis through the use of additional tools.
  • Derive recommendations from analysis that significantly impact business decisions.
  • Communicate analytical insights and business implications effectively.

FAQs

What is the role of a Business Intelligence Engineer at EasyShip?

The Business Intelligence Engineer supports the analytical requirements of the Local Shops program, conducts deep dive analyses to solve complex business problems, and creates robust automated reporting frameworks to enhance data visibility and support data-driven decision-making.

What educational background is required for this position?

A Bachelor's degree is required for the position of Business Intelligence Engineer at EasyShip.

What qualifications and skills are necessary for the job?

Candidates should have 1+ years of data analytics or automation experience, 1+ years of experience in capacity planning, operations planning, or business analysis, knowledge of SQL and Excel at a moderate or advanced level, and experience with data mining tools.

What types of tools and technologies should a candidate be familiar with?

Candidates should have knowledge of data pipelining and extraction using SQL, and experience with data mining tools like SQL, SAS, SPSS, or similar.

Will I have the opportunity to work with stakeholders in this role?

Yes, the role involves proactively working with stakeholders to construct use cases and deliver associated standardized outputs.

What are the key responsibilities of this position?

Key responsibilities include translating complex business problems into analysis requirements, scaling data processes and reports, handling large data sets, deriving business recommendations from analyses, and effectively communicating insights and implications.

Is there a focus on automation in this role?

Yes, a significant aspect of the role involves scaling data processes and reports through full-scale automation.

What is the main goal of the Local Shops program at Amazon?

The main goal of the Local Shops program is to enable offline sellers in India to adopt online selling on Amazon, empowering small and medium businesses to grow through digitization.

How should a candidate demonstrate their analytical abilities during the application process?

Candidates should provide examples of how they have successfully translated complex business problems into actionable analysis requirements and the impact of their data-driven recommendations on business decisions.

Are there opportunities for professional development in this role?

Yes, this position encourages continuous improvement of technical skills to meet evolving business needs, providing opportunities for professional development.

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.