Amazon Business Intelligence Engineer BIE IMDb 

United States, Washington, Seattle 

473383958

IMDb is looking for an experienced and motivated Business Intelligence Engineer (BIE) to unlock key industry insights and trends. As an analytics leader on our team, you will work closely with Product Managers, Finance, Marketing Managers, Data Engineers, Data Scientists, and Software Development Engineers to solve unique and challenging problems. You will leverage your intellect, curiosity, and technical ability to develop innovative solutions to real-world problems. You will learn different aspects of the business and understand how to build and apply analytics tools to solve high-impact business problems. You will dive deep into existing and new data sources to create unique and actionable insights to best serve our diverse global population of entertainment fans, professionals, advertisers, contributors, and data licensees.Key job responsibilities
• Partner with cross-functional teams to solve complex business problems and deliver integrated BI solutions that drive informed decision making
• Create scalable and insightful data solutions (dashboards, models, extracts) to answer key business questions
• Identify opportunities for improvement or automation of large-scale data analyses, statistics, and visualization solutions
• Implement data quality processes to ensure accuracy, consistency, and reliability of BI systems
• Build and manage weekly, monthly and quarterly business review metrics
• Lead BI projects independently end-to-end
• Share your insights and learnings broadly, through team demos, cross-team learning sessions, and senior leadership discussions

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field