Data Analyst, AWS Fraud Prevention

Amazon logo

Amazon

full-time

Posted: October 15, 2025

Number of Vacancies: 1

Job Description

As a Data Analyst, you will work closely with Data Scientists to monitor the flavor/ trend of compromise on AWS worldwide and leverage your analytical and data skills to deep dive on a myriad of fraud activity. You will be at the forefront of keeping abreast of trends and fraud issues impacting the Cloud industry to ensure AWS is leading the curve in identifying, mitigating and preventing fraud attacks. Key job responsibilitiesAs a Data Analyst your responsibilities will include:* Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures.* Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.* Report on daily fraud trends and cluster characteristics, perform deep dives and write summaries.* Analyze emerging fraud MOs, ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.* Contribute and/or lead special projects which reduce fraud related losses, while maintaining focus on a positive customer experience.* Design and influence operational best practices within the AWS Fraud Prevention Compromise team.* Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.* Work with stakeholders to drive process improvements that will impact internal and external customers.About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. A day in the lifeLearn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.comAbout the teamWould you like to join the team that protects the global AWS platform from fraud? Do you enjoy thinking like a fraudster and using your technical skills to help detect & mitigate AWS accounts from being compromised? If so, AWS Fraud Prevention has an exciting opportunity for you. You’ll be part of a team of Applied Scientists, Investigations Analysts, and Technical & non-Technical Program Managers. The team’s goal is to identify and neutralize fraudsters from compromising AWS customers’ accounts and engaging in other fraudulent activities on AWS.Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Locations

  • Germany, BE, Berlin, Berlin, BE, Germany

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

75,000 - 105,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 3+ years of experience working in Analytics/Business Intelligence environment.intermediate
  • - Proficiency in extracting and processing data using SQL/ Excel/ Tableauintermediate

Required Qualifications

  • - This role requires you to be a national of an EU member state. (experience)
  • - Bachelor’s Degree, preferably Bachelor’s Degree, preferably in an analytical field e.g. Economics, Operations, Business, Mathematics, Statistics, Finance or in another related field. (degree in an analytical field e)
  • - 3+ years of experience working in Analytics/Business Intelligence environment. (experience, 3 years)
  • - Proficiency in extracting and processing data using SQL/ Excel/ Tableau (experience)
  • - Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to come up with data/reports that help solve the business problems. (experience)
  • - Excellent oral and written communication skills. (experience)

Preferred Qualifications

  • - Basic experience with scripting languages such as Python and Bash. (experience)
  • - Experience working with AWS technologies (EC2, CloudTrail, S3, SageMaker, etc.). (experience)
  • - Previous work as an Analyst in the context of fraud analytics or risk scoring. (experience)
  • m/w/d (experience)

Responsibilities

  • As a Data Analyst your responsibilities will include:
  • * Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures.
  • * Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.
  • * Report on daily fraud trends and cluster characteristics, perform deep dives and write summaries.
  • * Analyze emerging fraud MOs, ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.
  • * Contribute and/or lead special projects which reduce fraud related losses, while maintaining focus on a positive customer experience.
  • * Design and influence operational best practices within the AWS Fraud Prevention Compromise team.
  • * Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.
  • * Work with stakeholders to drive process improvements that will impact internal and external customers.
  • About AWS
  • Diverse Experiences
  • AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
  • Why AWS?
  • Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
  • Inclusive Team Culture
  • AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
  • Mentorship & Career Growth
  • We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
  • Work/Life Balance
  • We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

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Investigation & Loss Prevention