Amazon Hiring 2026: Quality...

Codingcircle; Hyderabad; Vor Ort; INR 380.000 - 550.000; Vollzeit

Benefits dieser Stelle

Health Insurance

Life Insurance

Upskilling tools

Zusammenfassung

Amazon Dev Center India Private Limited in Hyderabad is hiring a Quality Associate for the Last Mile Analytics & Quality (LMAQ) team. You will audit, analyze, and correct geocoding and address data, review multimedia logs, and support drivers and routes to minimize delivery issues.

The role requires a Bachelor’s in a quantitative/technical field, strong English communication, and the ability to work 24×7 shifts from the Hyderabad office. Training and growth opportunities are provided.

Qualifikationen

• Bachelor’s degree in a quantitative or technical field (such as Engineering, Computer Science, Statistics, or Mathematics).
• Exceptional written and verbal communication skills in English; articulate findings clearly across levels.
• Willingness to work in a 24×7 rotational shift environment and rotational weekly off schedules from the Hyderabad office.

Aufgaben

• Perform manual audits and map edits to resolve address resolution errors and geocoding mismatches.
• Review images, videos, call transcripts, and emails to determine root causes of delivery failures and prescribe SOP actions.
• Assist with static route adjustments, driver support tickets, and real-time delivery exceptions.
• Achieve daily productivity, quality, and SLA targets while responding to internal queries within SLAs.
• Identify exception patterns from audit logs and propose process improvements.
• Identify complex data issues and escalate to engineering and operations teams through standard channels.
• Maintain accurate daily activity records on internal tools and dashboards.

Kenntnisse

Communication

Operational Agility

Workplace Flexibility

Ausbildung

Bachelor’s degree in a quantitative or technical field

Tools

Microsoft Excel

SQL

Jobbeschreibung

Amazon Hiring 2026: Quality Associate – LMAQ | Hyderabad (Job ID 10403906)

Amazon Hyderabad Full-time Fresher Not Disclosed Posted 2 days ago

Company: Amazon Dev Center India Private Limited
Job Title: Quality Associate, LMAQ (Last Mile Analytics and Quality)
Job Requisition ID: 10403906
Department / Business Unit: Transportation Operations / Last Mile Analytics & Quality
Work Arrangement: Work from Office (On-Site)
Employment Type: Full-Time
Shifts: 24/7 Rotational Shifts (5-day work week with 2 consecutive rotational off days)
Position Level: Entry-Level / Early Career
Location: Hyderabad, Telangana, India

Company & Program Overview

Amazon’s Last Mile Analytics and Quality (LMAQ) team acts as the core operational layer ensuring seamless customer package delivery across global geographies. The team optimizes transportation logistics by managing address accuracy, geocode corrections, map edits, driver support, static routing, and exception handling.

As a Quality Associate, you will serve as the first line of operational support, performing manual audits, investigating spatial/map outliers, evaluating customer interaction logs (audio, email, video), and resolving delivery exceptions according to defined Standard Operating Procedures (SOPs) and strict Service Level Agreements (SLAs).

Key Responsibilities & Daily Operations

• Address & Geocode Correction: Perform manual audits and map edits to resolve address resolution errors, spatial outliers, and geocoding mismatches in Amazon’s routing systems.
• Media & Audio Audit Analysis: Review images, videos, customer call recordings, and email transcripts to determine root causes of delivery failures and prescribe SOP-guided corrective actions.
• Driver & Route Management: Assist with static route adjustments, driver support tickets, and real-time operational delivery exceptions.
• SLA & Performance Compliance: Achieve daily productivity, quality, and utilization targets while responding to internal stakeholder queries within agreed SLAs.
• Trend Analysis & Process Improvement: Identify emerging exception patterns from audit logs and propose process/workflow optimizations to improve last-mile efficiency.
• Systematic Escalations: Identify complex production bugs or data inaccuracies and systematically escape them to engineering and operations teams following standard channels.
• Tracking & Documentation: Maintain accurate daily activity records on internal workflow tools and metrics dashboards.

Minimum Eligibility & Qualification Criteria

Academic Background

• Education: Bachelor’s degree in a quantitative or technical field (such as Computer Science, Engineering, Mathematics, Statistics, or Information Technology).

Essential Skills & Capabilities

• Communication: Exceptional written and verbal communication skills in English, with the ability to articulate technical/operational findings across organizational levels.
• Operational Agility: Ability to handle overlapping tasks in a fast-paced environment and learn proprietary internal software rapidly.
• Workplace Flexibility: Willingness to work in a 24×7 rotational shift environment (including night shifts) and rotational weekly off schedules from the Hyderabad office.

Preferred Skills

• Working knowledge of Microsoft Excel (VLOOKUP, Pivot Tables, logical formulas) for metrics tracking.
• Exposure to SQL for database querying and data verification.

Compensation & Employee Benefits

• Estimated Starting Salary: ₹3.8 LPA to ₹5.5 LPA (CTC), depending on quantitative qualification and relevant internship/work experience.
• Shift Allowances: Additional night shift allowances and transport facility / cab pick-and-drop service as per Amazon India’s policy.
• Corporate Benefits:
  • Comprehensive Health Insurance for self and dependents.
  • Life and Personal Accident Insurance.
  • Access to Amazon internal upskilling tools and global internal mobility paths.
  • Workplace accommodation support via Amazon’s Accessibility portal.

Selection Workflow & Interview Steps

1. Profile & Eligibility Screening (Verification of Quantitative/Technical Degree background, Hyderabad location, & 24x7 shift flexibility)

2. Online Assessment Round (Evaluation of analytical reasoning, English communication/comprehension, & basic Excel/data interpretation)

3. Technical & Operational Interview Round 1 (Scenario-based SOP navigation, data auditing logic, exception handling, & basic Excel/SQL questions)

4. Managerial / Behavioral Interview Round 2 (Focus on Amazon Leadership Principles: Customer Obsession, Bias for Action, & Attention to Detail)

5. HR Discussion & Offer Rollout

Essential Areas to Prepare for the Interview

• Amazon Leadership Principles: Be ready to demonstrate past experiences aligned with Customer Obsession, Bias for Action, Earn Trust, and Frugality.
• Scenario-Based Auditing: How to identify root causes from conflicting data (e.g., mismatched delivery address vs. driver GPS coordinates).
• Data Tools: Basic Excel functions (Data Filtering, Pivot Tables, VLOOKUP/XLOOKUP) and basic SQL SELECT queries (WHERE, GROUP BY, JOIN).

Core Resume Keywords for ATS Optimization

• Operations & Quality: Quality Associate, Last Mile Analytics, LMAQ, SOP Compliance, SLA Management, Audit Analysis, Root Cause Analysis, Geocode Correction
• Data & Analytics: Data Auditing, Geocoding, Map Edits, Address Resolution, Trend Identification, Microsoft Excel, SQL, Metrics Tracking
• Logistics & Support: Transportation Operations, Last Mile Delivery, Exception Management, Driver Support, Static Route Management, Process Improvement
• Soft Skills: Cross-Functional Escalation, English Fluency, Rotational Shifts, Attention to Detail

Frequently Asked Questions (FAQs)

1. What is the Job ID for this vacancy?

The official Amazon job ID is 10403906.

2. Is this a remote work opportunity?

No, this is a strict Work from Office (On-Site) role located at Amazon Dev Center India in Hyderabad.

3. What are the shift timings for this position?

This role operates in a 24×7 rotational shift environment with rotational weekly off days (5 days on, 2 consecutive days off).

4. What degree backgrounds are preferred?

Amazon requires a Bachelor’s degree in a quantitative or technical discipline such as Engineering, Computer Science, Statistics, or Mathematics.