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JD #2409
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Associate (HERO Org)

Amazon

  • Hyderabad, Telangana, India
  • 5-7 LPA
  • Fresher (0-1 Yrs)
  • Posted Nov 09, 2026
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About the role

Amazon is one of the world’s most customer‑obsessed companies, operating in more than 20 countries with a portfolio that spans e‑commerce, cloud computing, digital streaming and artificial intelligence. In India, Amazon has built a massive logistics and fulfillment network that powers millions of orders every day, creating a vibrant ecosystem for sellers, buyers and partners. The company’s culture is driven by its Leadership Principles, which encourage ownership, bias for action, and relentless focus on delivering value to customers.

Within Amazon India, the HERO (Handling Exceptional & Routine Operations) organization is a critical arm that ensures smooth scheduling, high‑volume transaction processing, and seamless customer experiences across various service lines. The HERO team works closely with cross‑functional stakeholders, leveraging data‑driven insights to continuously improve processes and maintain the highest standards of quality.

The Associate role in the HERO organization is designed for fresh graduates who are eager to dive into a fast‑paced operational environment. As an Associate, you will be responsible for handling large volumes of scheduling transactions, identifying process bottlenecks, and contributing to continuous‑improvement initiatives. You will work with data sets, interact with customers, and ensure adherence to Service Level Agreements (SLAs).

This position offers a solid foundation for a career in operations, analytics, or product management within Amazon.

Key Responsibilities

  • Process high‑volume scheduling transactions while following standard operating procedures.
  • Identify and propose process‑improvement ideas; actively participate in Lean and continuous‑improvement projects.
  • Maintain the highest quality standards and work towards enhancing the overall customer experience.
  • Respond to customer queries promptly and resolve issues within defined SLAs.
  • Monitor and adhere to process‑level Service Level Agreements, escalating when necessary.
  • Conduct deep‑dive analyses on critical processes, ensuring attention to detail and accuracy.
  • Demonstrate proactive ownership of deliverables and meet deadlines consistently.
  • Work with large data sets using Excel, SQL, or similar tools to generate insights and support decision‑making.
  • Collaborate with cross‑functional teams to streamline workflows and reduce operational friction.
  • Document process changes and train peers on new procedures.

Tech Stack & Tools: MS Excel, SQL, basic Python for data manipulation, Amazon internal dashboards, and AWS tools for reporting.

Growth Path: High performers can progress to Senior Associate, Team Lead, Operations Manager, or transition into specialized roles such as Business Analyst, Product Owner, or Program Manager within Amazon’s vast ecosystem.

Why Join Amazon: You will be part of a globally recognized brand that invests heavily in employee development, offers exposure to cutting‑edge technologies, and provides clear, merit‑based career progression. The role offers a blend of operational rigor and analytical exposure, making it an ideal launchpad for ambitious freshers.

Eligibility & process

Who can apply

Any graduate (B.Tech/B.E., B.Sc, B.Com, BA) with minimum 60% aggregate (or 6.0 CGPA). No active backlogs at the time of joining. Freshers from the 2025, 2026 or 2027 batch are encouraged to apply. Must have strong communication skills and basic computer proficiency.

Skills & stack

Data Analysis Ms Excel SQL Process Improvement Customer Service Python AWS Advanced Excel

Selection process

  1. Round 1: Online assessment (aptitude & logical reasoning)
  2. Round 2: Technical/Functional interview (process knowledge, data handling)
  3. Round 3: HR interview (behavioural fit and 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 (Data Analysis, Ms Excel, SQL, Process Improvement, Customer Service, Python, AWS, Advanced Excel) & 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 Associate (HERO Org)?
Highlight Amazon's market reputation, recent tech innovations, and how your skills in Data Analysis 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 5-7 LPA
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