Business Intelligence Engineer, IMDb

Do you love working with big data to derive new and actionable insights? Do you have a passion for Entertainment? If so, come join IMDb, the world's most trusted source for movies, TV, and celebrities. IMDb sits at the intersection of entertainment, media, and technology inside Amazon. The data and insights our team provides power all IMDb properties and feed directly into the Amazon flywheel. We are looking for an experienced and motivated Business Intelligence Engineer (BIE) to unlock key industry insights and trends. As an analytics leader, you will work closely with Product Managers, Finance Leaders, Marketing Managers, Data Engineers, Data Scientists, and Software Development Engineers to solve unique and challenging problems using AI and big data. Key job responsibilities Partner with cross‑functional teams to solve complex business problems and deliver integrated data solutions that inform product investment and business strategy Apply AI tools and techniques to accelerate analysis and deepen business understanding Create scalable and insightful data solutions (dashboards, models, extracts) to answer key business questions Identify opportunities to improve or automate 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 insights and learnings broadly through team demos, cross‑team learning sessions, and senior leadership discussions Basic Qualifications 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. 1+ year of SQL, ETL or Oracle experience 1+ year of processing large, multi‑dimensional datasets from multiple sources 1+ year of performing statistical analysis 1+ year of developing automated reporting 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 Preferred Qualifications Experience with AWS services such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, and using databases in a business environment with large‑scale, complex datasets Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field Demonstrable experience leveraging AI to accelerate insight generation Excellent verbal and written communication skills, with the ability to convey key insights from complex analysis in summarized business terms and effectively communicate with technical teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Benefits include health insurance, 401(k) matching, paid time off, parental leave and more. Compensation ranges from $99,500 to $160,000 annually depending on location. #J-18808-Ljbffr Original Film