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Data Analyst, AWS Fraud Prevention
Data Analyst, AWS Fraud PreventionAmazon • Berlin, Berlin, Germany
Data Analyst, AWS Fraud Prevention

Data Analyst, AWS Fraud Prevention

Amazon • Berlin, Berlin, Germany
Vor 30+ Tagen
Stellenbeschreibung

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 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve.

A day in the life

Learn 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 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 Amazons 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 :

About the team

Would 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.

Youll be part of a team of Applied Scientists Investigations Analysts and Technical & non-Technical Program Managers. The teams 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 Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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.

  • This role requires you to be a national of an EU member state.
  • Bachelors Degree preferably Bachelors Degree preferably in an analytical field e.g. Economics Operations Business Mathematics Statistics Finance or in another related field.
  • 3 years of experience working in Analytics / Business Intelligence environment.
  • Proficiency in extracting and processing data using SQL / Excel / Tableau
  • 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.
  • Excellent oral and written communication skills.
  • Basic experience with scripting languages such as Python and Bash.
  • Experience working with AWS technologies (EC2 CloudTrail S3 SageMaker etc.).
  • Previous work as an Analyst in the context of fraud analytics or risk scoring.
  • Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

    m / w / d

    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 for more information. If the country / region youre applying in isnt listed please contact your Recruiting Partner.

    Required Experience :

    IC

    Key Skills

    Microsoft Office,Risk Management,Financial Services,Customer Service,Fraud,Root cause Analysis,Law Enforcement,Banking,Analysis Skills,Authentication,Qualitative Research Interviewing,ACH

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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