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Amazon is looking for a Investigation Specialist that has a background in transportation, risk management and data driven problem resolution skills. In this role the Investigation Specialist 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 Specialist will be responsible for a wide range of duties related to identity verification.
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Shifts: Rotational (247 shift environment - changes based on business requirement)
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Weekly Off: Rotational two consecutive days off (5-day working week)
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Work from Office Role
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Key job responsibilities
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Provide data analysis & conduct investigations
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Pull data from numerous databases (using Excel,Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed
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Take appropriate action to identify and help - minimize the risk posed by fraud or abuse patterns and trends
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Consistently achieve weekly targets and quality standards for investigations
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Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations
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Understand the business impact of the trends and make decisions that make sense based on available data
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Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams
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Experience to follow through on the resolutions to ensure they are delivered
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Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
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Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum
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Participate in ad-hoc projects and assignments as necessary
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A day in the life
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Meet productivity, quality and other hygiene metrics/ goals
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Identify opportunities to Invent and Simplify processes, and deliver quicker with higher standards of accuracy
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Define SOPs, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure
Basic Qualifications
- 1+ years of customer service experience
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Experience in payments or e-commerce
Preferred Qualifications
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- Analyze basic case level inputs and identify predictors/causes of business related problems
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- Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends through data analysis and investigations
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- Identify patterns from investigations and data analysis to uncover areas of opportunity and highlight the same to managers
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- Provide data analysis, conduct complex investigations and review investigations
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- Identify and eliminate root causes of defects in order to drive efficiency in operations by sharing insights from investigations and audits performed
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- Collaborate with multiple resources as per need and carry out basic analyses to help ensure efficiency and effectiveness of programs
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- Ability to do root-cause analyses within the space subject to availability of data
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- Knowledge of 7QC (Seven Quality Control) tools and quality management methodologies
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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