Full-Time
Business Analyst 1
Collections Quality Control and Governance
Updated on 9/3/2026
Amazon
10,001+ employees
Global online marketplace and cloud services
No salary listed
Hyderabad, Telangana, India
In Person
 Data & Analytics (1) |
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- At least 4 years of experience building financial and operational reports or datasets that inform business decisions.
- Knowledge of SQL or Python, with proficiency in Python required.
- At least 4 years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science, or a related field.
- At least 2 years of experience building automations using AWS services such as AWS Lambda, Amazon S3, AWS Glue, Amazon Redshift, Amazon QuickSight, Amazon EventBridge, and AWS Step Functions.
- At least 1 year of experience building AI-based risk automation, quality control, anomaly detection, or defect prediction using self-service AI tools.
- Experience with AI-powered automation tools and frameworks.
- Experience with data modeling, SQL, extract-transform-load processes, data warehousing, and data lakes, including specialist-level SQL proficiency.
- Experience integrating application programming interfaces to read application data and feed it into artificial intelligence or large language models for insights and actions.
- Experience applying artificial intelligence and machine learning libraries to business analytics.
- Knowledge of Microsoft Excel, Microsoft Access, Oracle, Essbase, SQL, and Visual Basic for Applications.
- Experience with engineering and operations best practices, including version control, data quality and testing, and monitoring.
- At least 2 years of experience participating in continuous improvement projects with measurable results.
- At least 2 years of robotic process automation development experience using UiPath at an expert level.
- Background in collections, accounts receivable, or financial operations quality assurance.
- Experience with natural language processing for text analytics.
- Familiarity with statistical modeling and predictive analytics platforms.
- Experience with AWS cloud services including Lambda, Glue, Redshift, S3, SageMaker, EventBridge, and Step Functions.
- Experience with artificial intelligence and machine learning frameworks and libraries including scikit-learn, TensorFlow, and PyTorch.
- Experience with data visualization tools including QuickSight, Tableau, and Power BI.
- Knowledge of statistical analysis, predictive modeling, extract-transform-load processes, and data pipeline development.
- Strong verbal and written communication and data presentation skills, including the ability to summarize findings for business and technical teams.
- Develop moderately to highly complex data-processing jobs using SQL, Python, and other technologies.
- Apply artificial intelligence and machine learning algorithms for predictive analytics, anomaly detection, and pattern recognition in quality-control data.
- Apply artificial intelligence-powered text mining and data analytics to identify business insights and optimize operational efforts.
- Build statistically robust forecasting models using artificial intelligence and machine learning techniques for operational effort drivers and related metrics.
- Build risk-identification, monitoring, and automated mitigation actions using internal artificial intelligence tools and MCP.
- Develop end-to-end artificial intelligence solutions spanning data ingestion, model training, testing, deployment, and monitoring.
- Collaborate with product, software engineering, and data engineering teams to integrate artificial intelligence outputs into automated workflows.
- Build dashboards tracking operational metrics, key performance indicators, and process-, channel-, and team-specific collections-quality goals.
- Analyze customer behavioral patterns and process data to identify defect trends and quality-improvement opportunities.
- Investigate data anomalies, determine root causes, and develop alternative measurement strategies.
- Present historical data trends and operational statistics in meaningful, insightful, and actionable formats.
- Develop a controllership risk-scoring and health-measurement system by connecting policy, standard operating procedure, and official documents with technical controls and operational governance, risk, and compliance controls.
- Collaborate with stakeholders to understand business domains, requirements, and expectations in collections-quality operations.
- Support global FinOps teams with business reporting, ad hoc analysis, statistical inference, and predictive modeling.
- Work with data-source system owners to understand system capabilities and limitations.
- Map and relate data to business operations using strong data-interpretation skills.
- Manage project timelines and deliverables, anticipate risks, and resolve issues.
- Advise leaders and stakeholders on project milestones and prioritization.
- Drive continuous-improvement initiatives using artificial intelligence automation and advanced analytics.
- At least 2 years of experience participating in continuous improvement projects to scale and improve controllership with measurable results.
- At least 2 years of expert-level robotic process automation development experience using UiPath.
- Background in collections, accounts receivable, or financial operations quality assurance.
- Experience with natural language processing for text analytics.
- Familiarity with statistical modeling and predictive analytics platforms.
- Advanced SQL and Python programming.
- Experience with AWS cloud services including Lambda, Glue, Redshift, S3, SageMaker, EventBridge, and Step Functions.
- Experience with artificial intelligence and machine learning frameworks and libraries including scikit-learn, TensorFlow, and PyTorch.
- Experience with data visualization tools including QuickSight, Tableau, and Power BI.
- Knowledge of statistical analysis, predictive modeling, extract-transform-load processes, and data pipeline development.
Amazon operates a global e-commerce platform with a large online marketplace that connects consumers to both direct sales and third-party sellers across many product categories. It earns money from product sales and marketplace fees, Amazon Prime subscriptions, and AWS cloud services, plus a large Amazon Associates affiliate network. The platform combines fast shipping, streaming, cloud computing, and digital services to reach customers across numerous countries. Its goal is to be the world’s most customer-centric company by offering convenient access to a wide range of products and services.
Company Size
10,001+
Company Stage
IPO
Headquarters
Seattle, Washington
Founded
1994
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Simplify's Take
What believers are saying
- Q2 2026 revenue hit $200.6 billion, up 20%, with operating income at $27.5 billion.
- AWS revenue jumped 37% in Q2 2026, its fastest growth in 18 quarters.
- Amazon raised 2026 capex to $220 billion, signaling aggressive AI infrastructure expansion.
What critics are saying
- FTC and 22 states sued Amazon on August 31, 2026 over ad-auction manipulation.
- October 2026 FTC monopoly trial threatens forced remedies against marketplace pricing power.
- January 2026 layoffs cut 16,000 roles, exposing continued restructuring and internal instability.
What makes Amazon unique
- AWS reached a $169 billion annualized run rate in Q2 2026, crushing rivals.
- Amazon’s marketplace bundles logistics, Prime, ads, and cloud into one buyer-seller ecosystem.
- Amazon’s AI and chips businesses each surpassed a $25 billion annualized run rate.
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Benefits
Flexible Work Hours
Company Equity
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 2%2 year growth
↑ 1%Jeff Bezos remains Amazon's largest individual shareholder, owning 950.4 million shares as of February, representing 8.8% of outstanding shares. His stake is valued at approximately $245.7 billion, comprising the majority of his estimated $280 billion net worth. Whilst Bezos no longer serves as CEO, he retains the role of executive chair. Vanguard Group and BlackRock are the next-largest shareholders, holding 7.2% and 5.9% respectively. Amazon shares have gained 12% year to date through 4 September, slightly trailing the S&P 500's 13.7% return. The company's Amazon Web Services division posted 36.8% year-over-year sales growth in the second quarter, reaching $42.2 billion and accounting for 60.5% of operating income.
Amazon reported revenues of $200.6 billion for Q2, up 19.6% year on year and exceeding analysts' expectations by 2%. The company beat earnings per share estimates in what was characterised as a strong quarter overall. CEO Andy Jassy highlighted AWS growth of 36.7% year-over-year, marking the fastest growth in 18 quarters. The company's AI and Chips businesses each surpassed run rates of more than $25 billion. Amazon's share price has risen 9.7% since the earnings report, currently trading at $258.26. Across the online retail sector, the five tracked companies reported strong Q2 results. As a group, revenues beat consensus estimates by 2.1%, though next quarter's guidance came in 2.1% below expectations. Share prices are up 1.3% on average since results.
AT&T is partnering with Amazon to offer satellite internet to business customers, combining Amazon Leo's low-Earth-orbit satellite services with AT&T's fibre and 5G networks. AT&T becomes the first major US telecommunications provider to integrate Amazon Leo satellite services with existing networks. Amazon has been testing Leo with enterprise customers since November 2025 and plans to launch commercially this year. Leo has already secured contracts across several industries, including a partnership with Delta Air Lines. Amazon reportedly has 392 satellites in space, with 315 in the correct operational orbit. This remains far behind SpaceX's Starlink, which has 11,124 working satellites. The partnership targets enterprise and public sector customers seeking more reliable connectivity.
Amazon announced a multigeneration partnership with Qualcomm to develop AI inference chips and optical networking technology capable of 1.6 terabits per second. The company's shares fell approximately 1.3% in early trading following the news. AWS generated $42.2 billion in second-quarter revenue, up 37%, with operating income reaching $16.6 billion. Amazon reported that both its chip franchise and broader AI business surpassed $25 billion in annual revenue run rates. Under the partnership, Qualcomm will help design Amazon hardware whilst using more AWS infrastructure and AI services for its own semiconductor development. AWS posted an operating margin of roughly 39.3%. The companies did not disclose pricing, purchase commitments, or a deployment timetable for the collaboration.
Amazon, Meta, Microsoft, Alphabet and Oracle — collectively dubbed the "Hyper 5" — have spent $1.1 trillion on capital expenditures over the past five years to build AI infrastructure, according to S&P Global Market Intelligence. Analyst estimates project another $5.3 trillion in spending through 2030. The investment surge is putting pressure on free cash flow. Amazon's free cash flow fell to negative $7.6 billion over the 12 months ended 30 June, from positive $18.2 billion a year earlier. Meta's second-quarter free cash flow dropped 91% to $784 million. S&P Global warns the key risk is companies transitioning from cash to debt-funded investment before returns validate the spending. However, the tech giants remain highly profitable, distinguishing this cycle from the dot-com boom.