Quality Associate, LMAQ, Last Mile Analytics and Quality (LMAQ)
Amazon
About the role
Amazon is a global eβcommerce 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 companyβs culture is built around customer obsession, innovation, and operational excellence, offering employees the chance to work on highβimpact projects that touch millions of lives every day.
The Last Mile Analytics & Quality (LMAQ) team sits at the heart of Amazonβs 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 endβcustomer experience.
In this role you will
- Follow Standard Operating Procedures (SOPs) to perform manual audits and resolve outliers or exceptions using internal tools.
- Investigate images and videos from delivery operations and recommend corrective actions.
- Listen to customer calls, transcribe relevant information, and resolve issues via email or chat.
- Identify recurring patterns in audit data and suggest process improvements.
- Provide timely updates to stakeholders while adhering to SLA commitments.
- Escalate complex problems to the appropriate owners following predefined escalation matrices.
- Maintain accurate records of daily activities in trackers or workflow management tools.
- Meet and exceed business metrics such as productivity, quality, utilization, and SLA compliance.
- Leverage performance metrics to drive continuous improvement.
- Collaborate across crossβfunctional teams and adapt to multiple programs as business needs evolve.
Tech Stack & Tools: The role primarily uses Amazonβs 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 Amazonβs vast ecosystem.
Why Join Amazon? You will work in a fastβpaced, dataβdriven environment where every improvement you make has a tangible impact on millions of customers. Amazon offers competitive compensation, worldβclass 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 endβtoβend logistics.
Overall, this position is ideal for recent graduates with strong analytical abilities, attention to detail, and a passion for solving realβworld 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 2024β2027; no active backlogs at the time of joining; fluent in English (spoken, written, reading).
Skills & stack
Selection process
- Round 1: Online assessment (logical reasoning, data interpretation, basic SQL)
- Round 2: Technical interview (SOP knowledge, audit scenarios, SQL/Excel problem solving)
- Round 3: HR interview (behavioral questions, Amazon Leadership Principles).
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer
How do you handle dynamic WebElements whose ID changes on page reload? Answer
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer
Behavioural & HR questions 3
Highlight Amazon's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.