Amazon Business Analyst JWO CXQO 

India, Telangana, Hyderabad 

949641294

As a Senior Business Intelligence Engineer at Amazon, you will play a pivotal role in leveraging data to drive insights and support strategic decision-making across the organization. You will be responsible for designing and developing scalable data models, performing statistical analysis, and delivering actionable insights through effective storytelling.This role is ideal for someone who demonstrates the Learn and Be Curious leadership principle — proactively exploring new technologies and analytical techniques to push the boundaries of what’s possible. You will partner closely with Science teams to co-develop agentic frameworks and intelligent assistants that transform how users interact with labor planning data, enabling faster, smarter decision-making across multiple business lines.Key job responsibilities
Expertise in SQL for data modeling, and architecture design. Industry experience of 7+ is required.
Proficiency in Python for data wrangling, EDA, and model evaluation. Industry experience of 5+ years is preferred.
Industry experience in building and evaluating regression, forecasting, and classification models is highly preferred.
Perform advanced statistical analysis to uncover trends, patterns, and actionable insights from large datasets. Knowledge of clustering techniques is preferred.
Create compelling data visualizations and dashboards to communicate insights effectively. Knowledge of AWS products such as Redshift, QuickSight, or similar experience with other cloud tech stack.
Collaborate with product, engineering, and business teams to translate ambiguous problems into tech requirements and build data-driven solutions.We do this by:3) Improving our data architecture and processes to reduce time spent on KTLO and Operations;

- 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