Business Intelligence Engineer II, Worldwide Operations Security (WWOS), APAC S&LP

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

In short

Amazon is seeking a results-oriented Business Intelligence Engineer II for its Worldwide Operations Security (WWOS) team in Bengaluru, India. This role involves producing and driving analysis to mitigate security and operational risks, protecting associates, data, and assets. The ideal candidate will leverage large datasets and big data technologies to provide actionable insights, build scalable data solutions, and drive operational excellence.

Responsibilities

Design/implement automation and manage massive Data infrastructure for Analytics needs.
Enable efficient data exploration, experimentation of large datasets, and implement data access control.
Interface with other technology teams to extract, transform, and load data from various sources.
Build data pipelines and predictive models to enable new metrics.
Complete project-based deep dives to drive business insights and guide product strategy.
Present findings and recommendations to business leadership.
Drive operational excellence within the team and build automations.
Use emerging technologies like Agentic AI and AWS platform to package data analytics into self-service solutions.

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience.
Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience.
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.
Experience using Python scripting to process data for modeling.
Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.

Desired Qualifications

Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field.
Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
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.
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.

Benefits

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.

Skills

RedshiftOracleNoSQLTableauQuicksightSQLPythonRSASMatlabExcelVBAEC2DynamoDBS3

#Business Intelligence#Data Analysis#Security#Operations#APAC#Amazon#BI Engineer

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