Business Intelligence Engineer, Amazon Payment Products
Amazon
2 - 5 years
Bengaluru
Posted: 06/06/2025
Job Description
Are you passionate about building data
- driven solutions to drive the profitability of the business? Are you excited about solving complex real world problems? Do you have proven analytical capabilities, exceptional communication, project management skills, and the ability to multi
- task and thrive in a fast
- paced environment? Join us a Business Intelligence Engineer to deliver analytics solutions for European Payment Products in Amazon.
European Payment Products team creates and manages a global portfolio of products, including co
- branded credit cards, instalment financing, third party redemptions, and financial services marketplaces.
Within this team, we are looking for a Business Intelligence Engineer responsible for performing analysis on large volumes of data which includes building data pipelines, dashboards, synthesizing the analysis into business insights and communicating the findings to various stakeholders.
To be eligible, the candidate must possess superior written and verbal communication skills too, in addition to proven analytical skills.
Key job responsibilities
• Identify, develop and execute data analysis to uncover areas of business opportunity
• Learn and understand a broad range of Amazon’s data resources and know how, when and which data sources to use
• Deep dive into massive data sets, build data pipelines using SQL and dashboards using QuickSight
• Present insights and recommendations to key stakeholders in both verbal and written form
• Manage and execute entire project from start to finish including problem solving, data gathering and manipulation and project management
Basic Qualifications
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
experience
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Strong Analytical skills – has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem
- Communication skills – Demonstrated ability to communicate complex technical problems in simple plain stories.
Ability to present information professionally & concisely with supporting data.
- Ability to work in a fast
- paced business environment and demonstrated track record of project delivery for large, cross
- functional projects with evolving requirements
Preferred Qualifications
- Knowledge of data modeling and data pipeline design
- Knowledge of how to improve code quality and optimizes BI processes (e.g.
speed, cost, reliability)
- Credit or risk management 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.
About Company
Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.
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