Business Analyst I

Data Analytics & AI-Powered Risk mitigation automations • Develop moderately to highly complex data processing jobs using SQL, Python, and other technologies • Leverage artificial intelligence and machine learning algorithms for predictive analytics, anomaly detection, and pattern recognition in quality control data • Apply AI-driven text mining and data analytics to identify critical business insights and optimize operational efforts • Build statistically robust forecasting models using AI/ML techniques for operational effort drivers and related metrics • Build Risk identification, monitoring and automated mitigation actions using internal AI tools/MCP. • Develop end-to-end AI solutions — data ingestion → model training BASIC QUALIFICATIONS - 4+ years of building financial and operational reports/data sets that inform business decision-making experience - Knowledge of SQL or Python - • 4+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science, or related field - • 2+ years of relevant experience in building automations using AWS services like AWS Lambda, S3, Glue, Redshift, QuickSuite, EventBridge, Step Function etc. - • 1+ years of experience in building AI based risk automation, quality control, anomaly detection, or defect prediction using self-serve AI tools. Knowledge of AI-powered automation tools and frameworks. - • Experience with data modeling, SQL, ETL PREFERRED QUALIFICATIONS - 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - • 2+ years’ experience of RPA development using UiPath (Expert level) - • Background in collections, accounts receivable, or financial operations quality assurance - • Experience with natural language processing (NLP) for text analytics - • Familiarity with statistical modeling and predictive analytics platforms - Technical Skills - • Advanced SQL a

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.