Amazon is an e-commerce and cloud computing company with headquarters in Seattle, Washington. Amazon has focused on being "the world's most customer-centric company." Our customers are worldwide and include not just consumers but also our sellers and vendors (selling partners). World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. To meet our selling partners' needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas. Global Solution and Risk Compliance (GSRC) accelerates Amazon's business growth and marketplace presence at scale and speed through its diverse global teams, using high-quality solutions to solve regulatory and business problems.
CORS, a part of GSRC, develops automations that accelerate the work of GSRC associates by surfacing targeted information required for completing a task directly into their browser window. We improve productivity by decluttering information available across multiple systems and displaying the relevant ones for making a correct decision. CORS-Analytics develops business intelligence (BI) capabilities to uncover people, product, and operational insights, thereby enabling GSRC in data-driven decision-making. Our BI solutions (dashboards, reports, data pipelines, etc.) allow GSRC to track the health of business operations across the organization. We perform complex analyses on relevant data sources to help our customers with strategic planning, uncovering of latent trends, and identification and mitigation of risks.
Leveraging AWS cloud services and artificial intelligence, we augment our analytics capabilities to deliver insights and efficient solutions. Our team builds and deploys AI agents that enable self-service analytics and intelligent information discovery, empowering GSRC associates with automated, data-driven decision support tools. Through the integration of AI and machine learning, we're transforming how data is accessed, analyzed, and acted upon across the organization.

Key job responsibilities

Core Development & Implementation:

• Design and implement AI-augmented BI solutions and advanced analytics capabilities, combining traditional data mining with machine learning for both descriptive and predictive analytics
• Create and optimize data pipelines using AWS services (Lambda, S3, Glue) for real-time data processing
• Design and deploy AI agents and conversational interfaces enabling self-service analytics and automated insights discovery

Analysis & Problem Solving:

• Analyze complex business problems using AI-powered analytics tools to uncover hidden patterns and relationships in data
• Conduct deep dive analyses and provide data-driven recommendations to leadership
• Produce actionable insights combining traditional BI and AI-generated analytics for metric development and reporting

Infrastructure & Integration:

• Partner with Data Engineering to enhance data infrastructure and implement AI/ML pipelines
• Design intelligent automation solutions for streamlining reporting, audits, and other data-driven activities
• Collaborate with cross-functional teams to integrate AI solutions while ensuring scalability and performance

Governance & Best Practices:

• Develop and maintain best practices for data integrity, consistency, and documentation, including MLOps practices
• Ensure compliance with data governance policies and security requirements
• Stay current with emerging technologies in AI/ML, data science, and cloud computing

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, Quick Sight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
• Experience building and deploying AI Agents in production environments

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.