Business Intel Engineer II, Amazon Pay
Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Analysis · Data Engineering
In short
As a Business Intel Engineer II at Amazon Pay in Bengaluru, India, you will analyze data using tools like SQL, Python, and Tableau to drive customer adoption and develop India-specific segmentation models. This role involves collaborating with cross-functional teams, building Gen AI products, and contributing to the transformation of payments in India.
Responsibilities
- Conduct exploratory data analysis and identify trends.
- Identify consumer segments to drive adoption of Amazon Pay.
- Develop India-specific customer segmentation models.
- Establish mechanisms for consuming customer insights to improve engagement.
- Work with cross-functional teams.
- Build Gen AI products for data products and functional teams.
Requirements
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience.
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience in Statistical Analysis packages such as R, SAS and Matlab.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Experience using Python scripting to process data for modeling.
Desired Qualifications
- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field.
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
Benefits
- Inclusive culture that empowers Amazonians.
- Workplace accommodation and adjustment support for individuals with disabilities during the application, hiring, interview, and onboarding process.
#Amazon Pay#Business Intelligence#Data Analysis#Customer Segmentation#Gen AI#Data Products