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Quality Associate, LMAQ, Last Mile Analytics and Quality (LMAQ)

Amazon

  • Hyderabad, India
  • β‚Ή12 LPA - β‚Ή15 LPA
  • Fresher (0-1 Yrs)
  • Posted Yesterday
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About the role

Amazon is a global e‑commerce and technology leader that has reshaped how millions of customers shop, read, and consume digital content. In India, Amazon operates a vast network of fulfillment centers, logistics hubs, and development centers that power its marketplace, cloud services, and consumer devices. The company’s culture is built around customer obsession, innovation, and operational excellence, offering employees the chance to work on high‑impact projects that touch millions of lives every day. The Last Mile Analytics & Quality (LMAQ) team sits at the heart of Amazon’s transportation ecosystem. It focuses on ensuring that every package reaches its destination accurately and on time by continuously improving address data, geocoding, route planning, and driver support processes. As a Quality Associate in this team, you will be the first line of defense for data integrity and operational smoothness, directly influencing the end‑customer experience. In this role you will: 1. Follow Standard Operating Procedures (SOPs) to perform manual audits and resolve outliers or exceptions using internal tools. 2. Investigate images and videos from delivery operations and recommend corrective actions. 3. Listen to customer calls, transcribe relevant information, and resolve issues via email or chat. 4. Identify recurring patterns in audit data and suggest process improvements. 5. Provide timely updates to stakeholders while adhering to SLA commitments. 6. Escalate complex problems to the appropriate owners following predefined escalation matrices. 7. Maintain accurate records of daily activities in trackers or workflow management tools. 8. Meet and exceed business metrics such as productivity, quality, utilization, and SLA compliance. 9. Leverage performance metrics to drive continuous improvement. 10. Collaborate across cross‑functional teams and adapt to multiple programs as business needs evolve. Tech Stack & Tools: The role primarily uses Amazon’s proprietary data platforms, SQL for querying audit data, Microsoft Excel for analysis and reporting, and internal ticketing and workflow tools. Familiarity with basic data visualization and scripting can be advantageous. Growth Path: Starting as a Quality Associate, high performers can progress to Senior Quality Analyst, Operations Lead, or move laterally into data analytics, program management, or logistics engineering roles within Amazon’s vast ecosystem. Why Join Amazon? You will work in a fast‑paced, data‑driven environment where every improvement you make has a tangible impact on millions of customers. Amazon offers competitive compensation, world‑class learning resources, and a clear career ladder that rewards innovation and ownership. The rotational shift model also provides exposure to 24x7 operations, building a holistic understanding of end‑to‑end logistics. Overall, this position is ideal for recent graduates with strong analytical abilities, attention to detail, and a passion for solving real‑world operational challenges.

Eligibility & process

Who can apply

Bachelor's degree in Computer Science, Engineering, Statistics or any quantitative/technical discipline; minimum 60% aggregate or CGPA 6.0/10; graduating batch 2024‑2027; no active backlogs at the time of joining; fluent in English (spoken, written, reading).

Skills & stack

SQL Microsoft Excel Data Analysis Sop Adherence Stakeholder Management Advanced Excel Data Analytics

Selection process

  1. Round 1: Online assessment (logical reasoning, data interpretation, basic SQL)
  2. Round 2: Technical interview (SOP knowledge, audit scenarios, SQL/Excel problem solving)
  3. Round 3: HR interview (behavioral questions, Amazon Leadership Principles).

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (SQL, Microsoft Excel, Data Analysis, Sop Adherence, Stakeholder Management, Advanced Excel, Data Analytics) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Amazon Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer
Model answer: Implicit Wait sets a global timeout for all element lookups. Explicit Wait pauses execution until a specific ExpectedCondition (e.g. elementToBeClickable) is met. Fluent Wait allows defining polling frequency and ignoring specific exceptions like NoSuchElementException.
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer
Model answer: POM is a design pattern that creates an object repository for web UI elements. It separates test scripts from page locators, reducing code duplication and making maintenance easy when UI elements change.
How do you handle dynamic WebElements whose ID changes on page reload? Answer
Model answer: Use dynamic XPath methods like contains(), starts-with(), text(), or XPath axes (ancestor, following-sibling, parent) instead of brittle absolute paths.
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer
Model answer: @BeforeClass runs once before the first test method in the current class, while @BeforeMethod executes before each individual test method.
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer
Model answer: In RestAssured: given().when().get('/endpoint').then().assertThat().statusCode(200).body('status', equalTo('ACTIVE')).
Behavioural & HR questions 3
Why do you want to join Amazon as a Quality Associate, LMAQ, Last Mile Analytics and Quality (LMAQ)?
Highlight Amazon's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Amazon β‚Ή12 LPA - β‚Ή15 LPA
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