We are seeking an exceptional Business Intelligence Engineer to join India Global Selling (INGS). INGS empowers individuals and businesses to expand their reach to customers worldwide. Since inception, Amazon India has enabled over $20B in global exports, helping businesses, exporters, D2C brands, and entrepreneurs scale their products to international markets.
We are looking for a self-driven, seasoned BIE II to join our high-impact team. In this role, you will architect scalable data solutions, leverage AI to automate complex workflows, collaborate on building robust data models and ETL pipelines, and significantly enhance overall productivity across INGS.
Key job responsibilities
Develop deep expertise with Amazons internal data services and AWS products, becoming a subject matter expert in data infrastructure
Own end-to-end development, maintenance, and optimization of mission-critical dashboards, reports, and analytics for key INGS business metrics
Design and implement integrated AI-powered solutions to automate manual workflows, driving measurable productivity improvements and operational efficiency
Collaborate with associate BIEs, Data Engineering, and Data Science teams to architect, develop, and deploy automated reporting solutions, basic ML models, and scalable infrastructure that meets evolving business needs
Transform complex raw data into clear, actionable insights through sophisticated data modeling, integration, and visualization techniques
Demonstrate exceptional verbal and written communication skills, effectively translating technical concepts for both business stakeholders and technical teams while driving data-informed decision-making
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
Experience defining program requirements and using data and metrics to drive improvements
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
Masters degree, or MBA in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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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