Amazon Business Intelligence Engineer Amazon MGM Studios Data Insights 

United States, California 

827098026

As an MGM Studio's technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Key job responsibilities
* Lead the design, implementation and delivery of analytic solutions supporting Amazon MGM Studios corporate organizations
* Earn the trust of customers and stakeholders by understanding their needs and solving problems with technology
* Data gathering/manipulation, modeling, problem-solving, and communication of insights
* Actively manage project timelines, communicate with stakeholders, and represent the team on initiatives
* Evaluate emerging technologies and practices to ensure we are always improving and operating efficientlyA day in the life
* Design and build interactive dashboards relying on large, diverse datasets
* Engage with stakeholders, product management, project management and cross-functional teams to manage project planning, execution and delivery
* Develop innovative data analytics solutions using commercial and proprietary technologies
* Collaborate with engineering peers on optimized data flows and data models
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.

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience building measures and metrics, and developing reporting solutions
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Knowledge of data warehousing and data modeling
- Experience programming to extract, transform and clean large (multi-TB) data sets

- Experience with AWS technologies
- Experience managing, analyzing and communicating results to senior leadership
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with theory and practice of information retrieval, data science, machine learning and data mining