AP Quality Control Business Analyst I, Accounts Payable Quality Control

DESCRIPTION

Amazon FinOps is seeking a highly skilled Business Analyst to join the AP Quality Control team. As an analytics expert, you will work with some of the world's largest datasets, influence the evolution of our data analytics capabilities, and build AI-driven operational strategies to adapt and succeed in dynamic business environments.

You will be a key influencer on the team, providing input on priorities, understanding and anticipating stakeholder needs, and thinking big when recommending solutions. You will navigate ambiguous environments confidently, confirm assumptions, and advise leaders on project milestones and prioritization.

Key job responsibilities

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 testing deployment monitoring

Collaborating with Product, Software Engineers and Data Engineers to integrate AI outputs into automated workflows

Quality Control & Governance

Build accurate dashboards to track operational metrics including KPIs, process/channel/team specific goals for collections quality

Analyze customer behavioral patterns and process data to identify defect trends and quality improvement opportunities

Investigate data anomalies, understand root causes, and develop alternative measurement strategies

Present historical data trends and operational statistics in meaningful, insightful, and actionable formats

Develop controllership risk scoring and health measuring system by connecting Policy/SOP/Official documents with tech controls and operational GRC Controls.

Stakeholder Collaboration & Business Intelligence

Collaborate with stakeholders to understand business domains, requirements, and expectations in collections quality operations

Support Global FinOps teams on business reporting, ad hoc analysis, statistical inference, and predictive modeling

Work with data source system owners to understand capabilities and limitations

Map and relate data to business operations with strong data interpretation skills

Project Management

Actively manage timelines and deliverables of projects, anticipate risks, and resolve issues

Advise leaders and stakeholders on project milestones and associated prioritization

Drive continuous improvement initiatives leveraging AI automation and advanced analytics

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

Basic Qualifications

4+ years of building financial and operational reports/data sets that influence business decision-making

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.

Minimum 1 year 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

Preferred Qualifications

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

BASIC QUALIFICATIONS

4+ years of building financial and operational reports/data sets that inform business decision-making experience

4+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience

1+ years of integration, testing and automation experience, or AWS Associate level certification

Experience working with REST API based services, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in any Bigdata architecture

Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills

Experience with AI/ML technologies

Experience scripting in Python or Javascript

PREFERRED QUALIFICATIONS

2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience

Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture

Experience in accounts receivable or account payable, or experience in financial modeling, P&L management or analysis

2+ years of professional software development experience

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.