Business Intelligence Engineer III, Amazon Now

Amazon.com Inc.; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Amazon Now is hiring a Business Intelligence Engineer III to own the end-to-end data ecosystem for Customer Experience. The role builds scalable ETL pipelines, automated dashboards, and self-service reporting to track metrics across the customer journey, including conversion, delivery, retention, and NPS.

The BIE will partner with Product, UX, Engineering, and Operations to define success metrics for feature launches, run deep-dive analyses on customer behavior, and support A/B testing and

Qualifications

• 10+ years of professional or military experience.
• 5+ years of SQL experience.
• Experience extracting, transforming and cleaning large (multi-TB) data sets.
• Experience with design of experiments and statistical analysis of results.
• Experience with AWS technologies.
• Experience with Python scripting and advanced SQL.
• Experience with information retrieval, data science, machine learning and data mining.

Responsibilities

• Own end-to-end data ecosystem for CX, building scalable ETL pipelines and dashboards.
• Develop self-service reporting frameworks to track metrics across the customer journey.
• Partner with Product, UX, Engineering and Operations to define success metrics for features.
• Support A/B experimentation and build anomaly detection to flag CX degradation.

Skills

SQL

Python

ETL

Statistics

Experiment design

Data analysis

ML concepts

Tools

AWS

Big data tooling

Job description

Business Intelligence Engineer III, Amazon Now

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.

About the team

Our Quick Commerce team is passionate about solving complex location-based challenges that directly impact millions of customers. We work at the intersection of technology and operations, using advanced geo-spatial solutions to transform the way customers receive their deliveries. Our team combines expertise in product management, engineering, and operations to build innovative solutions that scale globally.

Basic Qualifications

• 10+ years of professional or military experience


• 5+ years of SQL experience


• Experience programming to extract, transform and clean large (multi-TB) data sets


• Experience with theory and practice of design of experiments and statistical analysis of results


• Experience with AWS technologies


• Experience in scripting for automation (e.g. Python) and advanced SQL skills.


• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs


• Experience managing, analyzing and communicating results to senior leadership

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.