Business Intel Engineer II, Amazon Pay

Amazons vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. The role requires team-work and building a business perspective. The individual will have to interact extensively with other members within the team across business lines work in partnership with Pay Finance Data Engineering and Central Customer Analytic teams. There will be a steep learning curve adding a fair amount of business skills to the individual.


Key job responsibilities

Key job responsibilities
1) Ability to do exploratory analysis: Fetch data from systems and analyze trends
2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay
3) Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs.
4) Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer life cycle
5) Work with cross functional teams
6) Build Gen AI products for Data products as well as functional teams


About the team

The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions.
Internal job description

- 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
- Bachelors 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 SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

- Masters 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

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