Amazon
Business Intelligence Engineer, Visual Search
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Visual Search
Job ID: 2844014 | Amazon.com Services LLC Are you someone who likes to use big data to drive business decisions? Do you enjoy building data applications used worldwide by business leaders? Do you want to be part of the data team which measures the pulse of innovative shopping experiences? If your answer is yes, join our team. We are the Visual Search team. We work with retail category leaders, product managers, and engineering leaders to ensure that we build shopping experiences using the camera that customers love and find useful.
Key job responsibilities
As part of the Analytics team, we build scalable data solutions to enable insight generation in addition to providing analytical support for flagship initiatives for our various products such as Visual Search, Shop The Look, and More Like This. Example data solutions include: Building a tool which allows business leaders to A/B test product launches. Building tools and dashboards to enable business and product leaders to derive product-level and business insights. Operating, improving, and maintaining data pipelines for a reliable flow of data that will allow BI engineers to perform data analytics operations.
A day in the life
As a BI Engineer in this team, you will co-own shaping the direction of Visual Search. You will work closely with business leaders to build the analytical roadmap. You will be comfortable making tough tradeoff decisions, helping define team vision and solutions. As a successful candidate, you will be able to interact with both technical stakeholders, setting tech requirements for the engineering team, as well as business stakeholders to collaborate on business requirements and project outcomes.
About the team
You will be part of the Visual Search team. Our team comprises designers, product managers, engineers, scientists, and operators who obsess over customer problems and find inventive ways to solve them. Millions of Amazon shoppers use our Visual Search, StyleSnap, and Augmented Reality products daily. Despite the millions of daily customers and the scale, we believe that it is Day One for Visual Search and Augmented Reality aided shopping experiences and you will be working on building the future with us.
BASIC QUALIFICATIONS
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.
PREFERRED QUALIFICATIONS
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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Posted:
December 14, 2024 (Updated about 12 hours ago) Posted:
December 13, 2024 (Updated 1 day ago) Posted:
December 8, 2024 (Updated 1 day ago) Posted:
July 30, 2024 (Updated 2 days ago) Posted:
December 3, 2024 (Updated 3 days ago)
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Job ID: 2844014 | Amazon.com Services LLC Are you someone who likes to use big data to drive business decisions? Do you enjoy building data applications used worldwide by business leaders? Do you want to be part of the data team which measures the pulse of innovative shopping experiences? If your answer is yes, join our team. We are the Visual Search team. We work with retail category leaders, product managers, and engineering leaders to ensure that we build shopping experiences using the camera that customers love and find useful.
Key job responsibilities
As part of the Analytics team, we build scalable data solutions to enable insight generation in addition to providing analytical support for flagship initiatives for our various products such as Visual Search, Shop The Look, and More Like This. Example data solutions include: Building a tool which allows business leaders to A/B test product launches. Building tools and dashboards to enable business and product leaders to derive product-level and business insights. Operating, improving, and maintaining data pipelines for a reliable flow of data that will allow BI engineers to perform data analytics operations.
A day in the life
As a BI Engineer in this team, you will co-own shaping the direction of Visual Search. You will work closely with business leaders to build the analytical roadmap. You will be comfortable making tough tradeoff decisions, helping define team vision and solutions. As a successful candidate, you will be able to interact with both technical stakeholders, setting tech requirements for the engineering team, as well as business stakeholders to collaborate on business requirements and project outcomes.
About the team
You will be part of the Visual Search team. Our team comprises designers, product managers, engineers, scientists, and operators who obsess over customer problems and find inventive ways to solve them. Millions of Amazon shoppers use our Visual Search, StyleSnap, and Augmented Reality products daily. Despite the millions of daily customers and the scale, we believe that it is Day One for Visual Search and Augmented Reality aided shopping experiences and you will be working on building the future with us.
BASIC QUALIFICATIONS
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.
PREFERRED QUALIFICATIONS
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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Posted:
December 14, 2024 (Updated about 12 hours ago) Posted:
December 13, 2024 (Updated 1 day ago) Posted:
December 8, 2024 (Updated 1 day ago) Posted:
July 30, 2024 (Updated 2 days ago) Posted:
December 3, 2024 (Updated 3 days ago)
#J-18808-Ljbffr