채용
We are seeking a detail-oriented Investigation Specialist II to join the Flex I & O team. In this role, you will lead comprehensive investigations into incidents involving our Flex Delivery Partners (DPs).
The ideal candidate is an exceptional communicator and creative problem-solver with a passion for uncovering the truth. You will conduct meticulous investigations, analyze complex data, and collaborate with cross-functional teams to ensure fair and accurate outcomes.
Your expertise will be instrumental in maintaining the integrity of our investigations. If you thrive in a fast-paced environment and are committed to upholding the highest standards of fairness and professionalism, we want you on our team. This role only open to the Tempe AZ PHX12 location in the United States.
- Key job responsibilities
- Investigate incidents involving Flex DPs, ensuring thoroughness and accuracy in all findings.
- Provide well-informed business decisions based on investigative outcomes.
- Take ownership of functional issues, offering high-quality solutions and championing proactive improvements.
- Exhibit excellent individual problem-solving and analytical skills to review and investigate cases.
- Demonstrate technical competence and self-motivation, thriving in a fast-paced team environment with minimal supervision.
- Display flexibility by working within different queues and providing support as needed for additional tasks, deep dives, and escalations.
- Ensure compliance with established procedures and Service Level Agreements (SLAs) while achieving and maintaining high-quality and performance metrics.
Basic Qualifications
- 1+ years of fraud/risk investigations experience
Preferred Qualifications
- Experience handling customer escalations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, AZ, TEMPE - 18.00 - 31.00 USD hourly
USA, AZ, Tempe - 18.00 - 31.00 USD hourly
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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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