Amazon Business Intelligence Engineer Amazon Payment Products L4 

India, Karnataka 

430548105

Key job responsibilities
• Applying your deep analytic and business skill to extract meaningful insights from large, complicated datasets.
• Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting.
• Partner with fellow Data/Applied Scientists to implement scalable, automated infrastructure for data extraction, processing, computation, and delivery.
• Work closely with data engineering and product management to deliver features to customers.
• Identifying new opportunities to influence business strategy and product vision using data.
• Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications.
• Learn new technology and techniques to support product and process innovation.

- Bachelor’s degree in Business, Engineering, statistics, Computer Science, Mathematics, Economics, Data Science, or related field or equivalent experience.
- 2+ year of relevant professional experience working with data and applied analytics.
- Excellent communication (verbal/written) and data presentation skills and demonstrated ability to successfully partner with business and technical teams.
- Advanced SQL knowledge for ETLM operations.
- Experience with data visualisation using QuickSight, Tableau, or similar tools. Demonstrated ability to work with business and technical partners to define requirements and deliver against complex business questions.
- Ability to deal with ambiguity and competing objectives in a fast-paced environment.

- Master’s degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field
- 3+ years of relevant professional experience working with data and applied analytics.
- Experience with at least one statistical programming language such as Python, Julia, or R.
- Experience working with test/control methodology, time-series forecast, and/or machine learning techniques.
- Experience working with AWS big data technologies (e.g., EMR, Redshift, S3, Glue, Kinesis and Lambda)
- Prior experience in tech, e-commerce, retail, or finance/banking industry