招聘
Benefits & Perks
•Parental leave
•Professional development budget
•Competitive salary and equity package
•Team events and activities
•Flexible work arrangements
•Generous paid time off and holidays
•Parental Leave
•Learning
•Equity
•Flexible Hours
Required Skills
Python
JavaScript
TypeScript
GCOI (Grocery Catalog Ops and Intel) is looking for an experienced Business Intelligence Engineer with excellent technical and analytical abilities. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with a passion for building scalable long-term solutions, then you are the right candidate for our team. In this role, the candidate would work closely with operations, product/program, and tech teams across the US Grocery business to build a variety of bespoke data solutions that directly impact the business' top and bottom lines.
The position is based in Hyderabad, but will interact daily with leaders in NA and IN.
We seek a quick-learner who can quickly familiarize themselves with a fast-paced environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Flexibility, and an ability to prioritize will be key. Our team culture is goal-oriented, collaborative and driven to achieve results.
- Key job responsibilities
- Explore and develop expertise with internal Amazon data services and AWS products.
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs.
- Use analytical and statistical rigor to solve complex problems and drive business decisions. Analyze and validate data to maintain high data quality bar.
- Own advanced data extraction and basic data engineering needs for your customers.
- Own the maintenance of ongoing metrics, reports, and other artifacts used to drive key business decisions.
- Create high quality documentation for your customers and team members.
- Work with team members and business customers to gather requirements.
About the team
Grocery Catalog Operations and Intel (GCOI) supports Amazon’s Grocery Catalog through New Item Setup, Audits & Edits, SOP management, Data management, Process Automation, etc.
Basic Qualifications
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Bachelor's degree in sciences, engineering, finance or equivalent
- Experience with managing cross-geography stakeholders and customers.
Preferred Qualifications
- Rudimentary experience with data engineering, working with APIs, and managing AWS accounts.
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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About Amazon

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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Product Designer L2
0 reports
$163,720
total / year
Base
$65,488
Stock
$81,860
Bonus
$16,372
$114,604
$212,836
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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