Business Intelligence Engineer, Amazon Payment Products

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 - Bachelors 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