Senior Business Intelligence Engineer, Cross Border Science and Analytics
Amazon · Chennai, India · Business Intelligence
senior
data engineering
Analytics Engineer
ic
10+ yrs
· Posted Mar 2, 2026
AI Summary
Senior Analytics Engineer defining AI-readiness roadmaps and enabling business users to access insights through semantic layers and natural language analytics. Requires 10+ years experience, 5+ years SQL, expertise in large-scale data transformation, statistical analysis, AWS technologies, Python scripting, and machine learning with recent AI deployment experience.
This role will work on org wide AI readiness initiatives across data and analytics layer for driving adoption, innovation along with setting up quality standards.
Key job responsibilities
- Define the roadmap for AI-enabled analytics aligned with business goals
- Enable business users to access insights through Semantic layers, AI-assisted query interfaces, Natural language analytics
- Partner with product, applied science, data and engineering teams to translate business problems into scalable analytics solutions.
- Design and maintain scalable knowledge repository, semantic layers, and feature-ready datasets for analytics and AI.
- Define anomaly detection mechanisms and standardized KPI frameworks
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Must experience on experimenting and deploying AI use cases in last 1 year and actively learning and exploring the evolving space
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.
Key job responsibilities
- Define the roadmap for AI-enabled analytics aligned with business goals
- Enable business users to access insights through Semantic layers, AI-assisted query interfaces, Natural language analytics
- Partner with product, applied science, data and engineering teams to translate business problems into scalable analytics solutions.
- Design and maintain scalable knowledge repository, semantic layers, and feature-ready datasets for analytics and AI.
- Define anomaly detection mechanisms and standardized KPI frameworks
Basic Qualifications
- 10+ years of professional or military experience- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership- Must experience on experimenting and deploying AI use cases in last 1 year and actively learning and exploring the evolving space
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.