채용

Investigation Associate, Middle Mile Product & Technology
Bengaluru, KA, IND
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Professional development budget
•Competitive salary and equity package
•Flexible work arrangements
•401(k) matching
•Learning
•Equity
•Flexible Hours
Required Skills
PostgreSQL
Python
JavaScript
Amazon is looking for an Investigation Associate that has a background in transportation, risk management and data driven problem resolution skills. In this role the Investigation Associate will continuously work with stakeholders to build trust-based relationships in order to investigate suspicious activity and address escalations while creating long-term, systemic solutions for a world-class customer experience. In this role, the Investigation Associate will be responsible for a wide range of duties related to identity verification.
- Key job responsibilities
- Conduct investigations
- Take appropriate action to identify and help - minimize the risk posed by fraud or abuse patterns and trends
- Consistently achieve weekly targets and quality standards for investigations
- Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations
- Knowledge to systematically escalate problems or variance in the information
- Experience to follow through on the resolutions to ensure they are delivered
- Participate in ad-hoc projects and assignments as necessary
- A day in the life
- Meet productivity, quality and other hygiene metrics/ goals
- Identify opportunities to Invent and Simplify processes, and deliver quicker with higher standards of accuracy
- Share inputs for SOP improvements, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure
Basic Qualifications
-
- Meet productivity, quality and other hygiene metrics/ goals
-
- Identify opportunities to Invent and Simplify processes, and deliver quicker with higher standards of accuracy
-
- Share inputs for SOP improvements, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure
Preferred Qualifications
- 6 months to 1 year of experience -Speak, write, and read fluently ( English ) -Experience with Microsoft Office products and applications -Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays 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.
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
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0 reports
$187,921
total / year
Base
-
Stock
-
Bonus
-
$159,732
$216,110
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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