About this role
Key job responsibilities
- Build and maintain data pipelines, ETL jobs, and data models that result in improved Customer experience.
- Write and optimize SQL/PySPARK queries to produce weekly and monthly reports, translating raw data into actionable insights for regional leads and senior leadership.
- Collaborate with Product Managers, Program Managers, and peer Business Intelligence Engineers to align data definitions, standardize metrics.
- Investigate data anomalies, root-cause quality issues, and implement validation checks so that discrepancies are caught before they reach stakeholders.
- Maintain clear documentation of your data artifacts and analytical methodology, and identify opportunities to automate manual processes for improved pipeline reliability and reporting efficiency.
A day in the life
You will start your day checking pipeline health and dashboard accuracy for your assigned metrics, then move into writing or refining SQL queries that add new metrics or improve existing ones. You might spend part of the afternoon investigating a data discrepancy flagged by a regional lead, or meeting with a Product Manager to scope a new competitive analysis. Between tasks you will review a teammate's code, update your documentation, and brainstorm ways to automate a manual reporting step.
About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience globally. We are a team of builders that develop products, services, ideas and various ways of leveraging data to influence product and service offerings- for almost every business at Amazon-for every customer (e.g. Consumers, developers, sellers/brands, employees, investors, streamers, gamers.)
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 one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
Preferred qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Jobs Hindustan copied this listing from Amazon's official careers site on 30 October 2026 and checked it again 1 November at 5:47 am IST. Amazon never asks candidates for money. If anyone does, it is a scam.
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