Business Intelligence Engineer, eCS Data Engineering and Analytics

Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Data Engineering · Business Intelligence

In short

Amazon seeks an experienced Senior Business Intelligence Engineer for its eCommerce Services Data Engineering and Analytics team in Bengaluru, India. This role involves defining, developing, and maintaining critical business metrics, analyzing historical data, and collaborating with software teams to build data pipelines and analytics tools. The ideal candidate will have a strong background in data analysis, data modeling, ETL, and experience with tools like Redshift, Tableau, and Python.

Responsibilities

Defining, developing, and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
Identifying data needs and driving data quality improvement projects.
Thought leadership on data mining and analysis, understanding and utilizing broad Amazon data resources.

Requirements

5+ 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 using SQL to pull data from a database or data warehouse
Scripting experience (Python) to process data for modeling
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Desired 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

Benefits

Inclusive culture that empowers Amazonians to deliver the best results for our customers.
Support for workplace accommodations for individuals with disabilities during the application and hiring process.

Skills

RedshiftOracleNoSQLTableauQuicksightSQLPythonETLEC2DynamoDBS3

#Business Intelligence

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