Business Intelligence Engineer II, Prime Video APAC and ANZ Analytics Team

Amazon.com Inc.; Mumbai; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Amazon seeks a Business Intelligence Engineer II for Prime Video APAC and ANZ Analytics in Mumbai. You will turn large datasets into visual dashboards, build scalable data processes, and craft metrics to support content, programming, marketing and marketplace decisions.

Candidates should have strong SQL skills, hands-on experience with Tableau/Quicksight, and familiarity with ETL, data warehousing, and statistical tools. A fast-paced, entrepreneurial environment awaits.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
• 2+ years of Tableau Desktop, Quicksight or similar data visualization experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience in statistical analysis using R, SAS and Matlab.
• Experience using SQL to pull data from a database or data warehouse and Python for modeling.
• Experience with Python scripting to process data for modeling.

Responsibilities

• Take complex datasets and boil them down to actionable data visualizations.
• Own design, development, and maintenance of dashboards, metrics, reports, and analyses.
• Build scalable, automated data processes to inform business decisions.
• Develop new metrics to quantify customer behavior and reduce churn.

Skills

Data analysis (Redshift/Oracle/NoSQL)

Data visualization tools (Tableau/Quik

Data modeling, warehousing & ETL

Statistical analysis tools (R/SAS/Matl

SQL data extraction

Python for modeling

SQL scripting proficiency

Python data processing for modeling

Education

Bachelor's degree or higher in related field or 2+ years Amazon RME Full Time Exempt experience

Job description

Business Intelligence Engineer II, Prime Video APAC and ANZ Analytics Team

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 new metrics allowing better understanding of the performance of the business

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.