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Amazon Development Centre (India) Private Limited

Business Analyst, IES Shopping - Analytics and Science Team

2-5 Years
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  • Posted 14 hours ago
  • Over 200 applicants
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Job Description

Description

Founded in 1994 and headquartered in Seattle, USA, Amazon has grown to be a Fortune 100 company and a global leader in e-commerce. With a mission to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices, Amazon offers millions of items to our customers from tens of thousands of sellers.

IN Reach - Analytics and Science Team (AST) has a vision to embed a data culture deeply in our IES Shopping Experience organization, fostering invention through insights, and building a robust data architecture to support business needs. We spin the insights flywheel by growing a pool of bar-raisers and diverse data professionals, which empowers us to continuously enhance our data capabilities, holistically covering disciplines of Data Engineering, Business Intelligence, Analytics, and Machine Learning.

Key job responsibilities

As part of the IES Shopping - Analytics and Science team, the Business Analyst will be responsible for working closely with the Content Commerce team to analyse data, build inferences, and deliver compelling and actionable data insights. The candidate will work extensively on building and managing dashboards. This role requires an individual with excellent understanding of SQL and query development, good business acumen and the ability to work with quantitative and business teams. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.

Basic Qualifications

  • Experience in data analytics or automation
  • 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

Preferred Qualifications

  • Bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field
  • Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

More Info

Job Type:
Function:
Employment Type:
Open to candidates from:
Indian

About Company

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.

Job ID: 106993507

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