Full-Time
Business Analyst 1
GAR QC and Governance
Amazon
10,001+ employees
Global online marketplace and cloud services
No salary listed
Warangal, Telangana, India + 2 more
More locations: India | Hyderabad, Telangana, India
In Person
 Business & Strategy (1) |
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- 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
- 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
- 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
- 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
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
- AWS grew 37% in Q2 2026, accelerating for five straight quarters.
- AWS backlog reached $496 billion, signaling multi-year demand for Amazon cloud capacity.
- Amazon Australia launched same-day groceries with Harris Farm, deepening Prime’s daily-use habits.
What critics are saying
- FTC trial starts October 13, 2026, threatening marketplace remedies and conduct restrictions.
- Amazon paid a $2.5 billion Prime settlement; refunds continue through late 2026.
- Starlink’s 11,000 satellites dwarf Leo’s 396, risking Amazon’s connectivity ambitions until 2028.
What makes Amazon unique
- AWS still dominates absolute cloud scale, with $42.2 billion quarterly revenue in Q2 2026.
- Amazon Leo has 396 satellites deployed and a multi-launch-provider strategy for resilience.
- Amazon’s retail, Prime, and logistics stack gives unmatched fulfillment speed across major markets.
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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%Rosenblatt analyst Scott Devitt initiated coverage on Amazon with a $335 price target on 19 August, arguing the company's AI leadership remains undervalued. The firm expects AWS to reach a 45% growth rate by end-2026, above the Street's 38% consensus, and projects $335 billion in revenue by 2028. AWS has accelerated for five consecutive quarters, reaching 37% growth in Q2 2026—its fastest pace in 18 quarters—with revenue of $42.23 billion. The backlog stood at $496 billion, growing triple digits year-over-year. Despite the improvement, AWS still trails Microsoft Azure's 43% growth and Google Cloud's 82% expansion. However, AWS generates significantly more absolute revenue, operating at a $169 billion annualised run rate. Amazon trades at roughly 22x forward price-to-earnings, compared with Microsoft's 24x and Alphabet's 17x.
Investor sentiment around artificial intelligence is shifting towards demanding concrete returns rather than just ambitious spending promises. Tech companies plan to invest over $700 billion in AI this year, with expectations of further increases. Recent earnings revealed a clear divide. Microsoft, Amazon, and Palantir saw double-digit stock price jumps after demonstrating strong results. Microsoft maintained $19.9 billion in quarterly free cash flow despite heavy AI investments, whilst Amazon's cloud division posted its fastest growth in four years, with its AI business exceeding a $25 billion annual run rate. Meanwhile, Meta Platforms, Alphabet, and Tesla faced investor scepticism over their substantial AI expenditures without comparable proof of returns. The market has entered what analysts call the "show me" phase, where tangible financial results from AI investments now matter more than spending commitments alone.
Amazon has raised prices across its hardware product line, including Echo smart speakers, Fire TV devices, Kindle e-readers, and eero networking systems. The Echo Dot increased from $49.99 to $79.99, whilst the Kindle Paperwhite rose from $159.99 to $199.99. Fire TV Stick 4K Max jumped from $59.99 to $84.99. An Amazon spokeswoman confirmed the increases stem from significant rises in memory and storage component costs affecting the consumer electronics industry. The company said it absorbed these costs as long as possible before adjusting prices. The move follows similar actions by Apple, Microsoft, Dell, HP, Lenovo, and Asus, all responding to memory chip shortages driven by AI compute demand. Amazon chief executive Andy Jassy recently revealed the company expects to spend $220 billion this year on capital expenditures, primarily for AI data centres.
Elon Musk announced that Starlink now has 11,000 satellites in orbit, vastly outpacing Amazon's Kuiper constellation, which has only 394 satellites. OneWeb sits in second place with 654 satellites. According to the KeepTrack satellite catalogue, Starlink accounts for more than half of all 19,447 tracked payloads in Earth orbit. SpaceX has launched 12,444 Starlink satellites since May 2019, with roughly 1,660 already reentered. Amazon missed its 1,600-satellite July milestone and pushed its timeline to 2028. Meanwhile, Starlink already serves 12 million paying subscribers through SpaceX's Connectivity segment, which posted $4.29 billion in Q2 2026 revenue, up 66% year over year. Amazon CEO Andy Jassy said the company plans to begin initial satellite internet service this year.
Amazon shares fell approximately 0.5% to $258.72 on Friday, underperforming the broader market after Walmart's weak comparable sales highlighted consumer caution. While Americans continue spending, they are becoming more selective—a shift that affects Amazon's retail business. The company's second-quarter results showed sales jumping 20% to $200.6 billion and operating income reaching $27.5 billion. Amazon Web Services revenue surged 37% to $42.2 billion. However, Amazon expects roughly $220 billion in capital expenditures for 2026 as it invests heavily in AI chips, data centres, and cloud capacity. The stock trades 5.15% above its estimated fair value at roughly 21 times trailing earnings, leaving investors questioning when the massive spending will translate into substantial cash flow.