What are the responsibilities and job description for the Business Intelligence Engineer (BIE), IMDb position at IMDb.com?
Description
Do you love working with big data to derive new and actionable insights? Do you have 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.com. The data and insights our team provides, powers 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, 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
The IMDb BI team consists of Business Intelligence Engineers, Data Engineers, and Data/Applied Scientists. We sit within the IMDb Foundation Tech Org and support the intelligence and science needs for all of IMDb. We work closely with stakeholders from across the company with dedicated areas of investment spanning global customer growth and engagement initiatives, programmatic and premium advertising performance, professional subscription services, and content coverage and quality analysis.
Basic Qualifications
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - IMDb.com, Inc.
Job ID: A2902847
Do you love working with big data to derive new and actionable insights? Do you have 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.com. The data and insights our team provides, powers 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, 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
The IMDb BI team consists of Business Intelligence Engineers, Data Engineers, and Data/Applied Scientists. We sit within the IMDb Foundation Tech Org and support the intelligence and science needs for all of IMDb. We work closely with stakeholders from across the company with dedicated areas of investment spanning global customer growth and engagement initiatives, programmatic and premium advertising performance, professional subscription services, and content coverage and quality analysis.
Basic Qualifications
- 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
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Familiarity with Data Science concepts, statistical analysis, predictive analysis, ML modeling, A/B testing
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - IMDb.com, Inc.
Job ID: A2902847
Salary : $89,600 - $185,000