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

Amazon

  • Hyderabad, India
  • ₹12 LPA – ₹15 LPA
  • Fresher (0-1 Yrs)
  • Posted Today
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About the role

Amazon, a global e‑commerce and cloud‑computing giant, has built its reputation on relentless customer obsession, innovation, and operational excellence. In India, Amazon operates massive fulfilment centres, a growing logistics network, and a suite of digital services that touch millions of daily users. The company’s culture encourages data‑driven decision making, rapid experimentation, and a bias for action, making it an attractive destination for fresh talent eager to make an impact at scale.

The Last Mile Analytics & Quality (LMAQ) team sits at the heart of Amazon’s transportation ecosystem. It is responsible for ensuring that every package reaches the customer’s doorstep efficiently, safely, and on time. As a Quality Associate, you will be the first line of defence, handling address resolution, geocode corrections, map edits, driver support, and static route management.

Your day‑to‑day work will involve manual audits, investigating multimedia evidence, and collaborating with cross‑functional stakeholders to resolve high‑impact production issues. This role offers a unique blend of analytical rigor and operational ownership, giving you a panoramic view of Amazon’s logistics operations.

Key Responsibilities

  • Follow SOPs to perform manual audits, identify outliers, and resolve exceptions using internal tools.
  • Investigate images and videos, recommend corrective actions, and document findings.
  • Listen to customer calls, transcribe relevant information, and resolve issues via email or chat.
  • Detect emerging patterns from audits and suggest process improvements.
  • Provide timely updates to stakeholders while adhering to SLA commitments.
  • Escalate complex problems to appropriate owners following predefined escalation matrices.
  • Maintain accurate records in trackers or workflow management tools.
  • Meet and exceed business metrics such as productivity, quality, and utilization.
  • Leverage performance metrics to drive continuous improvement.
  • Collaborate with global teams to understand geographic nuances and support multiple programs as needed.

Tech Stack & Tools: Amazon internal audit platforms, SQL for data extraction, Microsoft Excel for analysis, basic scripting (Python/SQL), and communication tools like Chime and Slack.

Growth Path: Successful associates can progress to Senior Quality Analyst, Operations Manager, or specialized roles in Data Analytics, Process Engineering, or Program Management within Amazon’s logistics network.

Why Join Amazon?

  • Work on real‑world problems that affect millions of customers.
  • Gain exposure to cutting‑edge logistics technology and data‑driven decision making.
  • Benefit from Amazon’s robust learning ecosystem, mentorship programs, and clear career ladders.
  • Be part of a diverse, inclusive culture that values ownership and innovation.

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 2025/2026/2027; no active backlogs; strong written and verbal communication in English.

Skills & stack

SQL Microsoft Excel Data Auditing Sop Adherence Time Management Python Advanced Excel Data Analytics

Selection process

  1. Round 1: Online assessment (aptitude & logical reasoning)
  2. Round 2: Technical interview (SQL, Excel, scenario based questions)
  3. Round 3: HR interview (behavioral, 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 Auditing, Sop Adherence, Time Management, Python, 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 ₹12 LPA – ₹15 LPA
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