The Job

Business Analyst I, GAR QC and Governance

Finance, Banking & Legal · Banking & Investments · Financial Analysis · Business Analysis

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In short

Amazon FinOps is seeking a skilled Business Analyst for their Collections Quality Control and Governance team in Hyderabad, India. This role involves leveraging AI/ML, SQL, and Python to develop data processing jobs, build AI-driven operational strategies, and create dashboards for tracking operational metrics, with a focus on risk mitigation and continuous improvement.

Responsibilities

  • 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.
  • Collaborate with Product, Software Engineers and Data Engineers to integrate AI outputs into automated workflows.
  • 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.
  • 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.
  • 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.

Requirements

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

Desired Qualifications

  • Knowledge of SQL or Python.
  • 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.
  • 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.

Benefits

  • Our inclusive culture empowers Amazonians to deliver the best results for our customers.
#Business Analyst#FinOps#Quality Control#Governance#Data Analytics#AI#Machine Learning#Risk Mitigation#SQL#Python#AWS#Dashboards#BI#Stakeholder Collaboration#Project Management
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Company

Amazon

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Hyderabad, India

Applicants

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