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Full Time Job

Business Intelligence Engineer

Amazon Studios

Culver City, CA 09-12-2021
 
  • Paid
  • Full Time
  • Mid (2-5 years) Experience
Job Description
Amazon Studios is at the forefront of revolutionary changes reshaping the entertainment industry. We are developing innovative tools and processes to elevate data-driven decisions through all areas of the organization.

The Studios Data Engineering team continues to evolve a robust platform that brings together data from all phases of the content lifecycle: from pre-greenlight, through production and post-release performance analyses. We harness the value and hidden insights buried in our massive data stores to support predictive models, financial workflows, production optimization efforts - and much more.

We need talented, insightful engineers like you to design visualizations and analytical tools that empower stakeholders to make data-driven decisions to guide Studios' productions and operations. Every day we ingest terabytes of data from dozens of data sources so security, scalability and automation are of paramount importance in everything we do. This role offers the opportunity to work with a diverse data, to engage with stakeholders in a variety of domains and to develop innovative data solutions using the latest technologies.

This position is located in beautiful Culver City, California. Join us!

BASIC QUALIFICATIONS
• 3+ years of experience in a business intelligence or data engineer role
• Experience in SQL
• Experience in data modeling and pipeline design
• Experience with one or more scripting languages (e.g. Python, R, Shell) in order to update or troubleshoot existing scripts for basic BI use cases (e.g. data transformations, statistical tests and analyses, process automation)
• Advanced knowledge in a variety of industry analytics and metrics visualization tools (for example but not limited to Excel, Tableau, QuickSight, MicroStrategy/PowerBI)

PREFERRED QUALIFICATIONS
• Experience conducting large scale data analysis to support business decision making
• Experience working in very large data warehouse environments
• Experience with collaborative no-code solutions (for example but not limited to AirTable, Honeycode, Smartsheets)
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.

For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Jobcode: Reference SBJ-dy8nvp-3-143-4-181-42 in your application.