Business Intelligence Engineer, Amazon Now

Amazon; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Amazon Now is seeking a Business Intelligence Engineer to own the end-to-end data ecosystem for the Customer Experience team. You will build scalable ETL pipelines, automated dashboards, and self-service reporting, tracking key CX metrics across the customer journey.

You will partner with Product, UX, Engineering, and Operations to define success metrics for features, perform deep-dive analyses on customer behavior, support A/B experiments, and implement anomaly detection to flag CX issues.

Qualifications

• 3+ years of analyzing data with Redshift, Oracle, NoSQL experience.
• 2+ years of Tableau Desktop, Quicksight or similar visualization experience.
• Bachelor's degree or above in related field, or 2+ years Amazon RME experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience in Statistical Analysis packages such as R, SAS and Matlab.
• Experience using SQL to pull data and Python to process data for modeling.
• Experience using SQL to pull data from a database or data warehouse.

Responsibilities

• Own the end-to-end data ecosystem for CX—building scalable ETL pipelines and automated dashboards.
• Develop self-service reporting frameworks that track CX metrics along the customer journey.
• Partner cross-functionally with Product, UX, Engineering, and Operations to define success metrics.
• Conduct deep-dive analyses on customer behavior and journey pain points.
• Support A/B experimentation and build anomaly detection to flag CX degradation.
• Monitor metrics like conversion funnels, delivery experience, retention, and NPS.

Skills

SQL

Python

ETL pipelines

Data visualization

Statistical analysis

Data warehousing

Cross-functional collaboration

A/B testing

Education

Bachelor's degree or above in related field

2+ years Amazon experience

Tools

Tableau/Quicksight

AWS Redshift

NoSQL/Oracle

Python scripting

Job description

Description

We are looking for a Business Intelligence Engineer to join the Customer Experience (CX) team at Amazon Now. The BIE will own the end-to-end data ecosystem for CX — building scalable ETL pipelines, automated dashboards, and self-service reporting frameworks that track key metrics across the customer journey including conversion funnels, delivery experience, retention, and NPS. The role involves partnering cross-functionally with Product, UX, Engineering, and Operations teams to define success metrics for feature launches, conduct deep-dive analyses on customer behavior and journey pain points, support A/B experimentation, and build anomaly detection to proactively flag CX degradation.

Basic Qualifications

• 3+ 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 SQL (Structured Query Language) to pull data from a database or data warehouse

• Experience using Python scripting to process data for modeling

Preferred 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

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