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 Amazon Payment Products.
Amazon Payment Products team creates and manages a global portfolio of products, including co-branded credit cards, instalment financing, third party redemptions, etc. 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, dashboards using QuickSight, data self-service using Generative/Agentic AI products like Quick Suite
- 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, predictive modeling and project management- Undergraduate degree in mathematics, engineering, statistics, computer science, business administration or a related field
- At least 5 years of experience using SQL to build data pipelines and dashboards like QuickSight
- 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.
- Experience in building Generative/Agentic AI solutions to drive internal productivity of the team and productivity of stakeholder team by enabling data self-service
- Ability to work in a fast-paced business environment and demonstrated track record of project delivery for large, cross-functional projects with evolving requirements- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field
- Experience in building predictive models, optimization models using Python to make business decisions
- Credit or risk management experience
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