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JD #3642
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Customer Service Representative

Amazon

  • Bengaluru, Karnataka, India
  • β‚Ή25,000 - β‚Ή32,000 per month (approx. 3-4 LPA)
  • Fresher (0-1 Yrs)
  • Posted Today
HR
Recruiter contact
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About the role

Amazon, a global e‑commerce and technology leader, operates one of the largest online marketplaces and cloud platforms in the world. With a workforce of over 1 million employees, the company is known for its customer‑obsessed culture, relentless innovation, and a relentless focus on operational excellence. In India, Amazon has built a robust logistics network, a thriving marketplace, and a suite of digital services that touch millions of consumers daily.

The company invests heavily in employee growth, offering upskilling programs, internal mobility, and a performance‑driven environment that rewards high achievers.

The Customer Service Representative (CSR) role in Bengaluru is a front‑line position that directly influences the Amazon customer experience. As a CSR, you will be the voice of Amazon, handling inbound and outbound communications across phone, chat, and email channels. You will assist customers with order tracking, delivery issues, refunds, replacements, and account queries, ensuring each interaction ends with a satisfied customer.

The role demands quick problem‑solving, empathy, and adherence to Amazon’s high standards of service quality.

Key Responsibilities

  • Respond to customer calls, chats, and emails in a professional and courteous manner.
  • Provide real‑time updates on order status, delivery timelines, and shipment tracking.
  • Process cancellations, returns, refunds, and replacements as per policy.
  • Resolve payment‑related queries and assist with billing issues.
  • Address account‑related concerns, including login problems and profile updates.
  • Escalate complex cases to internal teams while maintaining ownership until resolution.
  • Follow Amazon’s SOPs, quality guidelines, and data‑privacy standards.
  • Achieve daily targets for customer satisfaction (CSAT), quality score, and response time.
  • Handle difficult or upset customers with patience and composure.
  • Continuously update knowledge base and share best practices with the team.

Tech Stack: Amazon internal CRM tools, Zendesk/ServiceNow equivalents, Microsoft Office Suite, basic spreadsheet analysis, and proprietary order‑management systems.

Growth Path: High performers can progress to Senior CSR, Team Lead, Operations Manager, or transition into specialized roles such as Fraud Analyst, Logistics Coordinator, or Product Support. Amazon’s internal mobility program encourages cross‑functional moves across its vast ecosystem.

Why Join Amazon?

  • Work with a world‑class brand that values customer obsession.
  • Access to continuous learning through Amazon’s upskilling initiatives.
  • Competitive compensation with clear performance‑linked increments.
  • Exposure to cutting‑edge tools and processes used by industry leaders.
  • Opportunity to be part of a diverse, inclusive, and fast‑growing team.

Eligibility & process

Who can apply

Graduates (any discipline). Freshers are encouraged to apply; internships or prior work experience are not mandatory.

Skills & stack

Excellent Verbal Communication Active Listening Multitasking Basic Computer Literacy Familiarity With Crm Tools Empathy Time Management Ability To Work In Rotational Shifts

Selection process

  1. Round 1: Online assessment (situational judgment & English proficiency)
  2. Round 2: Technical/Functional interview (role‑play scenarios, problem‑solving)
  3. Round 3: HR interview (culture fit, behavioral questions based on Amazon Leadership Principles)

Prep kit

19 resources
Study material 3
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 (Excellent Verbal Communication, Active Listening, Multitasking, Basic Computer Literacy, Familiarity With Crm Tools, Empathy, Time Management, Ability To Work In Rotational Shifts) & 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 WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Amazon as a Customer Service Representative?
Highlight Amazon's market reputation, recent tech innovations, and how your skills in Excellent Verbal Communication 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‚Ή25,000 - β‚Ή32,000 per month (approx. 3-4 LPA)
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