Business Analyst, Buyer Abuse Data Science

Amazon is hiring a Business Analyst, Buyer Abuse Data Science. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this business analyst role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include SQL, Python and computer vision.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Solve complex problems and drive business decisions using data mining and analytics for buyer risk prevention.

SQLPython

computer-visionnlpdata-miningbusiness-intelligencedata-visualizationrisk-management

Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. BRP organization is looking for a Business Analyst for its Operations Analytics team. The team is being grown to provide insights about its BRP operations and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of BRP operations.
As a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.

Key job responsibilities

- Use analytics and data mining techniques to solve complex problems and drive business decisions.

- Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt

- Design experiments, test hypotheses, and build actionable models to optimize BRP operations

- Solve analytical problems, and effectively communicate methodologies and results

- Build analyses for product launches and operations and help predict workflow and capacity requirements for BRP operations

- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies

- Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area

A day in the life
Pipeline Operations — Monitor and triage Datanet ETL jobs; resolve dependency timeouts, upstream delays, and schema drift; coordinate with data providers on blocked feeds; backfill data when logic changes.

Ad-Hoc Investigations — Query fraud/abuse signal tables for point-in-time analysis; investigate multi-account abuse patterns (linked accounts, ATO, concession leakage); decrypt/trace customer IDs across evaluation systems.

Dashboard & Reporting — Build/maintain QuickSight dashboards on Redshift aggregates for MAA metrics; add dimensions as needs evolve; validate metric definitions against production logic.

Business Reporting — Prepare WBR/QBR inputs (abuse BPS, goal tracking, forecasts); support goal-setting with prior-year reconciliation; generate ad-hoc regional/program splits.

Basic qualifications

- 5+ years of business analyst, data analyst or similar role experience
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
- Bachelor's degree or equivalent
- Experience with SQL
- English proficiency required (written and verbal)

Preferred qualifications

- Experience with operations, risk, fraud investigations etc.
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience visualizing data in Tableau or other relevant data visualization software
- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
- Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience communicating results to senior leadership
- 5+ years of senior level leadership support, or 7+ years of Amazon experience
- AWS Professional level certification, or 10+ years of IT platform implementation in a technical and analytical role experience

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.

How we rate this

Business Analyst, Buyer Abuse Data Science at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Analyst, Buyer Abuse Data Science is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in CR, H, Heredia.
The job was posted on September 2, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionNLPData MiningBusiness IntelligenceData VisualizationRisk ManagementSQLPython

Also common in business analyst jobs at this level

Azure Generative AI Snowflake Google Cloud AI agents C#

Pay

Typical business analyst job: $95k

This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where data mining was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data visualization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer vision, NLP, Data Mining, Business Intelligence, and Data Visualization. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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