Business Analyst , AWS Fraud Prevention

Amazon.com, Inc.; Dublin; On-site; EUR 60,000 - 80,000; Full time

Job summary

A leading technology firm in Dublin seeks a Business Analyst to work with Data Scientists in preventing fraud on AWS. This role involves identifying patterns of fraud, using data analysis to improve efficiencies, and driving collaborations across teams. Ideal candidates will have a Bachelor's Degree in an analytical field, 3+ years of experience in analytics, and proficiency in SQL, Excel, and Tableau. Skills in Python and AWS technologies are advantageous. This position offers a dynamic work environment focused on innovation and career growth.

Qualifications

• 3+ years of experience in Analytics/Business Intelligence environments.
• Detail-oriented with problem-solving skills for unstructured data.
• Excellent oral and written communication skills.

Responsibilities

• Identify and act on emerging fraud patterns.
• Use statistical analysis to prevent fraud activity.
• Analyze trends and report on fraud characteristics.
• Collaborate across teams on fraud risks.

Skills

Data analysis

SQL

Excel

Tableau

Problem-solving

Communication

Education

Bachelor's Degree in Economics, Operations, Business, Mathematics, Statistics, Finance or related field

Tools

Python

Bash

AWS (EC2, CloudTrail, S3, SageMaker)

Job description

Job ID: 3122107 | Amazon Web Services Development Center Germany GmbH

As a Business Analyst, you will work closely with Data Scientists to monitor the flavor and trend of compromise on AWS worldwide and leverage your analytical and data skills to dive deep into 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 leads the curve in identifying, mitigating and preventing fraud attacks.

Key Job Responsibilities

• 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 them to the larger fraud community. Partner with Data Scientists to build long‑term counter‑protection.
• Contribute and/or lead special projects that 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.

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 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 toward 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.com

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. 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.

Basic Qualifications

• This role requires you to be a national of an EU member state.
• Bachelor’s Degree, preferably in an analytical field such as Economics, Operations, Business, Mathematics, Statistics, Finance or another related field.
• 3+ years of experience working in an Analytics/Business Intelligence environment.
• Proficiency in extracting and processing data using SQL, Excel and Tableau.
• Detail‑oriented with an aptitude for solving unstructured problems; ability to extract data from various sources and design/construct/execute complex analyses to help solve business problems.
• Excellent oral and written communication skills.

Preferred Qualifications

• 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.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.