The Amazon Search team develops customer-focused search and advertising solutions.
Our services activate whenever a customer interacts with Amazon's product catalog, enabling millions of daily searches across our global websites.
We design, develop, and deploy high-performance, fault-tolerant distributed systems that power these critical customer experiences.
Within this ecosystem, the Search Relevance team plays a crucial role in optimizing the quality and effectiveness of search results.
Our mission is to enhance the search experience as Amazon expands into new markets and product categories.
We create innovative infrastructure and solutions that streamline expansion processes and improve functionality from day one.
We are seeking a Business Intelligence Engineer (BIE) to join our team in Bangalore.
The ideal candidate will be analytical, detail-oriented, and customer-focused, with the ability to adapt quickly to new technologies and business needs.
The successful candidate will be a self-starter with good analytical skills, thinks in terms of automation, makes comprehensive technical decisions balancing short-term and long-term needs and drives projects to completion with minimal supervision.
Key job responsibilitiesExtract insights from complex data setsCollaborate with stakeholders to solve business problems using data and analyticsDesign and implement automated data infrastructureSupport economists and data scientists on analytical projectsWork with cross-functional teams to deliver customer-facing featuresLearn and apply new technologies to support innovationDrive data integration projects BASIC QUALIFICATIONS2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONSBachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience 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.
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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.
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