Business Analyst II, Financial Fraud

About the team

Amazon is focused on being the world’s most customer-focused company, and that goal depends on talented, curious, and driven people. The Financial Fraud team builds risk models and operational processes that help reduce risk while strengthening trust on Amazon.com. The team is hiring a Business Analyst who brings strong analytical ability and a commitment to protecting customers from abusive behavior and unfair business practices.

Role overview

In this role, you will create analytical solutions that support deep-dive analysis, track operational health, and measure business impact. You will turn raw data into practical insights that stakeholders across locations can use easily. The position involves owning the design, development, and ongoing management of very large datasets. Early on, you will handle a wide range of work, including dataset creation, reporting, dashboarding, metadata modeling, and pipeline monitoring.

You will work closely with internal program owners, product owners, and technical teams to collect requirements, build scalable data solutions, and develop a strong understanding of important datasets. You will also help introduce and scale new analytics tools and methods, encourage industry best practices, and improve query performance on large, complex datasets. Your insights will be converted into clear recommendations that support business or product improvements.

Key responsibilities

• Build and maintain analytical solutions that support deep dives, operational tracking, and business impact measurement.
• Convert complex data into usable business insights and make them accessible to stakeholders worldwide.
• Design, create, and manage very large datasets and related reporting assets.
• Develop datasets, reports, dashboards, metadata models, and monitoring processes for data pipelines.
• Partner with program, product, and technical teams to gather requirements and develop scalable data solutions.
• Improve query performance across large and intricate datasets.
• Promote adoption of modern analytics technologies, standards, and best practices.
• Translate analytical findings into concrete recommendations for product or business improvement.

Ideal candidate profile

• Experience working with large datasets in data analytics and using tools and technologies to extract and transform data.
• Ability to turn data into actionable information and present it in a simple, stakeholder-friendly way.
• Strong at identifying root causes, trends, and patterns and understanding their business impact.
• Comfortable building basic models, dashboards, and visualizations from processed data.
• Willingness to work with GenAI tools to improve analytical efficiency.
• Good business and communication skills to work with product owners and answer key questions through reports.
• Able to manage multiple priorities and work through ambiguity.
• Thrives in an agile, fast-moving environment on high-visibility initiatives.

Basic qualifications

• At least 3 years of experience using Excel, including VBA, pivot tables, array functions, and power pivots, along with data visualization tools such as Tableau.
• At least 3 years of business or financial analysis experience.
• Experience defining requirements and using data and metrics to generate business insights.
• Experience making recommendations and influencing stakeholders.
• Bachelor’s degree or an equivalent qualification.

Preferred qualifications

• Degree in finance, accounting, business, economics, engineering, analytics, mathematics, statistics, or a related technical or quantitative field.
• Experience with data mining, ETL, and working with databases in a business setting with large, complex datasets.
• Exposure to SQL, Python, R, or similar scripting or statistical tools such as SAS or Matlab.
• Experience with BI and reporting tools such as QuickSight, Tableau, or Power BI.
• Strong written and verbal communication skills, with the ability to present technical ideas clearly to executives and non-technical audiences.

Additional information

Amazon provides an inclusive workplace and supports candidates who need accommodations or adjustments during the application, interview, or onboarding process, including disability-related support. Applicants should use the company’s hiring accommodations resource for assistance if needed. If the relevant country or region is not listed, candidates are advised to contact their recruiting partner.

Company: ADCI - BLR 14 SEZ - F07

Job ID: A10441776