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
About the team
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
PREFERRED QUALIFICATIONS
- 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.