Business Analyst I

Amazon FinOps is seeking a highly skilled Business Analyst to join the Collections Quality Control and Governance team. As an analytics expert, you will work with some of the world's largest datasets, 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, data warehousing, and data lakes with specialist-level SQL proficiency. - • Experience with API integrations for reading data from applications and feeding into AI/LLM for insights/actions. - • Proficiency with Python (Mandatory) and experience applying AI/ML libraries for business analytics. - • Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL, and VBA - • Good experience with engineering and operations best practices (version control, data quality/testing, monitoring) - • Excellent verbal/written communication and data presentation skills, with ability to summarize key findings and communicate effectively with both business and technical teams - • 2+ years of participating in continuous improvement projects with measurable results - • 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 - • AWS cloud services (Lambda, Glue, Redshift, S3, SageMaker, EventBridge, Step Function) - • AI/ML frameworks and libraries (scikit-learn, TensorFlow, PyTorch, etc.) - • Data visualization tools (QuickSight, Tableau, Power BI) - • Statistical analysis and predictive modeling - • ETL processes and data pipeline development Preferred: - 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 and Python programming - • AWS cloud services (Lambda, Glue, Redshift, S3, SageMaker, EventBridge, Step Function) - • AI/ML frameworks and libraries (scikit-learn, TensorFlow, PyTorch, etc.) - • Data visualization tools (QuickSight, Tableau, Power BI) - • Statistical analysis and predictive modeling - • ETL processes and data pipeline development 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.