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