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Home›Jobs›Amazon›Business Intelligence Engineer, LATAM Marketplace
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Business Intelligence Engineer, LATAM Marketplace

Amazon • Sao Paulo, Sao Paulo, BRA

Posted 10 months ago🏛️ On-SiteMid-LevelBusiness intelligence engineer📍 Sao paulo
Apply Now →

Job Description

Are you looking for a new challenge in a fast-paced, innovative company? Come make history in Amazon’s LATAM team! We are looking for talented Business Intelligence Engineer for Amazon Marketplace. Amazon strives to be Earth's most customer-centric company, where people can find and discover virtually anything they want to buy online. Over 2 million sellers in 10 countries list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices.

As a Business Intelligence Engineer, you will lead the design, implementation, and delivery of BI solutions in the complex and ambiguous problem space that is Amazon's marketplace. The ideal candidate will be a self-starter, highly analytical, comfortable diving deep, and making data driven decisions with a strong business acumen. You must be able to handle competing priorities and manage stakeholders, setting up a BI roadmap for the topics you own and deliver on that roadmap. Your work will directly impact our ability to make data-driven decisions and drive the success of our business.

Key job responsibilities
- Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
- Work closely with the team to understand business challenges and provide data/analysis for better decision making.
- Design and create the reports and metrics for tracking business and product success.
- Build self-service reporting platforms, establishing automated processes for large scale data analysis.
- Understand and write high quality SQL queries to retrieve and analyze data.
- Extract, Transform and Load data to build new reporting solutions.
- Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate.

About the team
LATAM Marketplace BI team is responsible for ensuring our stakeholders and leaders have the data they need to make data-driven decisions and drive the success of our business.
We are structured into verticals (business topics) and promote knowledge sharing in between those topics every week.
In our team, a Business Intelligence Engineer can be responsible for 1 or more business verticals, driving his BI projects end to end, this involves: setting up the BI roadmap, managing stakeholders, diving deep on data for that topic and designing and building SQL Tables, KPIs, reports, dashboards and analysis.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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