Are you interested in shaping the future of entertainment? Prime Video's technology, marketing, and operations teams are creating the best-in-class digital video experience. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Prime Video APAC and ANZ team is seeking a Business Intelligence Engineer to drive customer insights for the PV APAC and ANZ analytics team. As a Business Intelligence Engineer, you will generate insights that support Prime Video India's content, programming, marketing, and marketplace lines of business.
The successful candidate will be a self-starter who is comfortable with ambiguity and large data sets. They will have strong attention to detail and an ability to work in a fast-paced and entrepreneurial environment. They will have strong SQL skills, experience building visual dashboards, and the ability to clearly communicate information to business stakeholders.
Key job responsibilities
• Strong interest and ability to take complex datasets and boil them down to actionable data visualizations.
• Own the design, development, and maintenance of ongoing performance dashboards, metrics, reports, analyses, etc. to drive key business decisions.
• Build scalable, efficient, and automated data processes to inform business decision making.
• Proactively develop new metrics and studies to quantify customer behavior and reduce customer churn.

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 current metrics allowing better understanding of the performance of the business
Our inclusive culture empowers Amazonians to deliver the best results for our customers.

📌 Business Intelligence Engineer II, Prime Video APAC and ANZ Analytics Team (India)
🏢 Asspl - Maharashtra
📍 India