招聘
Benefits & Perks
•Professional development budget
•Team events and activities
•Generous paid time off and holidays
•401(k) matching
•Learning
Required Skills
Python
JavaScript
TypeScript
Our team, Amazon Now (Quick Commerce) – MENA, supports the rapid-delivery grocery and convenience business across the Middle East and North Africa. We partner closely with regional stakeholders across Operations, Supply Chain, Vendor Management, Instock, Pricing, Marketing, and Last-Mile Delivery to drive best-in-class customer experience in ultra-fast commerce.
The ideal candidate will perform deep-dive analyses to identify root causes of operational inefficiencies, develop data-backed recommendations, and build dashboards and reporting mechanisms that enable leadership to monitor performance in near real time. This role will also support forecasting and capacity planning to ensure service-level targets are met while balancing cost and operational efficiency.
You will work closely with regional and country teams to ensure data accuracy, surface performance trends, and drive continuous improvement initiatives across Amazon Now markets.
Key job responsibilities
Design, build, and maintain operational dashboards and reporting to track core Quick Commerce metrics (e.g., service levels, speed, efficiency, capacity utilization)
Support short-term and mid-term planning and forecasting for demand, capacity, and operational resources
Drive visibility into actual vs expected performance, enabling real-time and retrospective performance management
Monitor and analyze efficiency and quality metrics across stores, regions, and countries
Conduct root-cause analyses on performance gaps and operational misses, and quantify business impact
Partner with Operations Managers (OMs), Program Managers (PMs), and central teams to support business reviews, WBRs, and deep dives
Communicate insights clearly to senior stakeholders through executive-ready narratives and recommendations
Ensure data quality, consistency, and metric definitions across reporting and analytical outputs
Proactively identify trends and risks that may impact customer experience, speed, or cost
Develop and recommend process optimization and efficiency improvements across the Amazon Now operating model
Work autonomously in a fast-paced environment while managing multiple priorities and timelines
Basic Qualifications
- Experience with SQL or ETL
- Bachelor's degree or equivalent in Business, Economics, Analytics, or a related field
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
- Experience measuring key operational metrics (e.g., order cycle time, ship estimate accuracy, on-time and complete shipment, inventory record defect rate)
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience working with data mining on large datasets
- Experience within business analyst, data analyst or similar role (including internships)
Preferred Qualifications
- Experience with advanced use of SQL for data mining and business intelligence, or experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
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
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
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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