Business Analyst I, GAR QC and Governance
Amazon - Hyderabad, Telangana, IND
Posted Jun 8, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Business Analyst I, GAR QC and Governance Hyderabad, Telangana, IND 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, 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
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