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 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
- 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
- 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
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