IMDb

Entertainment

BusinessIntelligenceEngineer

$100–160k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Business Intelligence Engineer at IMDb. Skills: Business Intelligence, Data Analysis, Data Engineering, AI. Partner with cross-functional teams. Solve complex business problems”

What You'll Achieve.

Inform product investment; Inform business strategy; Accelerate understanding; Unlock key insights; Serve global population

Industry & Context.

Entertainment
Problems you'll solve

Solve unique problems; Solve challenging problems; Problem solving

What They're Looking For.

Must Have

3+ years analyzing and interpreting data, 1+ years SQL, ETL or Oracle experience, 1+ years processing large, multi-dimensional datasets, 1+ years performing statistical analysis, 1+ years 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, Scripting experience (Python) to process data

Nice to Have

Experience with AWS solutions, Experience in data mining, ETL, 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

What You'll Do.

Partner with cross-functional teams

Solve complex business problems

Deliver integrated data solutions

Apply AI tools and techniques

Deepen business understanding

Create scalable data solutions

Create insightful data solutions

Answer key business questions

Identify opportunities to improve data analyses

Identify opportunities to automate data analyses

Implement data quality processes

Ensure accuracy of BI systems

Ensure consistency of BI systems

Ensure reliability of BI systems

Build business review metrics

Manage business review metrics

Lead BI projects independently

Share insights broadly

Share learnings broadly

How You'll Work.

Team & Collaboration

Cross-functional teams; Product Managers; Finance Leaders; Marketing Managers; Data Engineers; Data Scientists; Software Development Engineers

Communication Scope

Convey key insights; Communicate with technical teams

Process & Methodology

End-to-end project leadership

Full Job Description

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. 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 solut

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