Only 24h Left: Business Intelligence Engineer 1, Amazon Pay India
3 weeks ago
Business Intelligence Engineer 1, Amazon Pay India
Job ID: 2896281 | Amazon Pay (India) Private Limited
Amazon's vision is to be the earth's 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 to enable them to make informed decisions. The role requires teamwork and building a business perspective. The individual will interact extensively with other members within the team and across business lines, working 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
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.
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 to enable them to make informed decisions.
BASIC QUALIFICATIONS
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. 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.
PREFERRED QUALIFICATIONS
- 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.
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