Business Analyst IES Shopping - Analytics and Science Team AST
Business Analyst IES Shopping - Analytics and Science Team AST
Posted on :
14-04-2025
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1 Vacancy
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Job Description
Founded in 1994 and headquartered in Seattle USA Amazon has grown to be a Fortune 100 company and a global leader in ecommerce. With a mission to be Earths most customercentric company where customers can find and discover anything they might want to buy online and endeavours 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 barraisers 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 selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and driven by a desire to innovate in this space.
Experience in data analytics or automation
Bachelors 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
Bachelors 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 barraisers 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 selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and driven by a desire to innovate in this space.
Experience in data analytics or automation
Bachelors 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
Bachelors 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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