Amazon Business Intel Engineer II TSE Operations Analytics 

India, Telangana, Hyderabad 

954486148

Key job responsibilities
- Design and implement scalable data architecture and analytics pipelines using AWS services, creating robust ETL processes and optimized data models to support enterprise reporting needs- Partner with cross-functional teams (BAs, Data Engineers, Product Managers) to gather requirements, translate business needs into technical solutions, and deliver high-quality data products
- Develop and optimize complex SQL queries and stored procedures while implementing data quality frameworks to ensure accuracy and reliability of analytics solutions
- Conduct advanced statistical analysis and create analytical models to uncover trends, develop insights, and support data-driven decision making
- Identify and implement process improvements through automation, code optimization, and integration of generative AI capabilities to enhance BI processes and reporting efficiency
A day in the life
As a Business Intelligence Engineer in TSE Operations Analytics, you'll develop analytical solutions to provide insights into support operations and measure global technical support initiatives. You'll transform operational data into actionable insights for TSE leaders and engineers worldwide, managing critical datasets for support metrics, productivity, and customer satisfaction.Key responsibilities include building real-time dashboards, automated reporting systems, and data quality frameworks. You'll work with stakeholders to implement analytics solutions and drive data-driven decision-making. The role involves optimizing query performance and translating findings into recommendations to improve support efficiency and customer experience.

- 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