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

Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Engineering

In short

Prime Video APAC and ANZ team is seeking a Business Intelligence Engineer to drive customer insights for the PV APAC and ANZ analytics team. You will generate insights that support Prime Video India's content, programming, marketing, and marketplace lines of business, with a focus on building scalable data processes and visualizations.

Responsibilities

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.

Requirements

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 (Structured Query Language) to pull data from a database or data warehouse
Experience using Python scripting to process data for modeling

Desired 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

Benefits

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Skills

RedshiftOracleNoSQLTableauQuicksightdata visualizationdata modelingETLRSASMatlabSQLPythonExcelpivot tablesmacrosVBAEC2DynamoDBS3

#analytics#business intelligence#data visualization#ETL#SQL#Python

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