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职位Amazon

Business Analyst Support, GSF Last Mile

Amazon

Business Analyst Support, GSF Last Mile

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

必备技能

SQL

The GSF LM team at Amazon India is hiring for a Business Analyst position, seeking a candidate with a strong performance record and hands-on experience in data-driven decision-making. The role requires exceptional analytical skills, the ability to break down complex problems into structured, executable plans, and comfort with high ambiguity in a fast-paced environment. The candidate must be proficient in Macro and SQL, experienced with BI tools, and capable of working with big data from multiple sources. Core responsibilities include setting up robust processes to drive consumer experience improvements, identifying and executing automation projects, building scalable solutions using SQL, Amazon S3 and Quick Sight, and rolling out best practices from other geographies to minimize end-to-end supply chain losses. The candidate should demonstrate the ability to influence stakeholders across business, operations, and technical functions using data and facts, and earn trust across varied teams without formal authority. Candidates are expected to demonstrate a high bar on Bias for Action, Deep Dive, Learn and Be Curious, Insist on the Highest Standards, and Ownership.

Key job responsibilities
Key job responsibilities

  1. Set up and maintain robust processes to drive improvement projects with an objective to maximize consumer experience across the LM network.
  2. Identify, plan, and execute automation projects within the team to improve operational efficiency and reduce manual effort.
  3. Create and work on data using SQL, Amazon S3, and Quick Sight to generate actionable insights for business and operations teams.
  4. Support business growth in constrained environments through frugal and innovative solutions, ensuring scalability without proportional cost increase.
  5. Make existing processes scalable by identifying and implementing available tools, automation, and AI-driven solutions.
  6. Roll out best practices from other geographies and standardize tools and processes to minimize end-to-end supply chain losses.
  7. Partner with business, operations, and technical stakeholders to translate complex operational challenges into structured, data-backed recommendations.
  8. Utilize strong problem-solving and communication skills to influence decisions across business, operations, and technical audiences.

About the team
IN GSF Last Mile team supports three business lines: Amazon Fresh (including Ultra-Fast Fresh UFF and 3P Hybrid stores network, Sub Same Day, and Amazon Now (quick commerce). Amazon Fresh offers full basket service (daily essentials including Produce and Perishables) through UFF sites and 3P Hybrid retail partnerships. Sub Same Day specializes in local fulfillment via Same day delivery with 2 & 4-hour delivery windows. Amazon Now supports 10-25 minutes delivery of everyday essentials including groceries, electronics, OTC, and household consumables.

Basic Qualifications

  • 1+ years of data analytics or automation experience
  • Bachelor's degree
  • Knowledge of data pipelining and extraction using SQL
  • Knowledge of SQL and Excel at a moderate or advanced level
  • Experience with data mining tools like SQL, SAS, SPSS, or similar

Preferred Qualifications

  • Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions
  • Experience in data analytics or automation

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge