Business Intelligence Engineer, IMDb
About The Position
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! With over 250 million monthly users, IMDb is the world's most trusted source for movies, TV, and celebrities. IMDb sits at the intersection of entertainment, media, and technology, inside the world's most innovative and customer-centric company — Amazon. The data and insights our team provides power all IMDb properties and feeds directly into the Amazon flywheel. As IMDb employees, we enjoy the best of both worlds — all benefits and resources of Amazon with the autonomy and impact of a small, nimble team. 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 Leaders, Marketing Managers, Data Engineers, Data Scientists, and Software Development Engineers to solve unique and challenging problems. You will leverage your intellect, curiosity, analytical rigor, and technical ability to develop innovative solutions to real-world problems. You will harness the power of AI to accelerate understanding and unlock key insights informing business strategy and investment. 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.
Requirements
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting 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
Nice To Haves
- 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
- 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, while also being able to effectively communicate with technical teams
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 your insights and learnings broadly, through team demos, cross-team learning sessions, and senior leadership discussions
Benefits
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
