drjobs Sr. BI Engineer, GAE-Product Analytics

Sr. BI Engineer, GAE-Product Analytics

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1 Vacancy
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Job Location drjobs

Seattle - USA

Yearly Salary drjobs

$ 117300 - 202800

Vacancy

1 Vacancy

Job Description

Prime Video is changing the way customers around the world consume video entertainment by offering in every country the broadest selection of premium video within a single experience accessible across all devices. The mission of Prime Video International Expansion Business Intelligence team is to drive marketing product and content decisions that improve customer experience by providing analytical solutions and actionable insights. To help us fulfill this mission we are seeking a competent curious resourceful and experienced Business Intelligence Engineer to support our product and tech branch to develop new insights into product and internal tools and improve both external and internal customer experience.

Key job responsibilities
As a Business Intelligence Engineer on the team you will work closely with cross-functional counterparts in engineering product management and marketing to drive strategic decisions with data and set up reporting capabilities for our international video streaming responsibilities include:Establish goals plans and related metrics; track progress; and manage through obstacles to achieve program objectivesGather business and functional requirements and translate these requirements into robust scalable operable solutions that work well within the overall data the structure of our reporting mechanisms and dashboards for key metrics to illustrate and communicate organizationally on the progress against goalsUtilize database and reporting technologies including SQL ETL Redshift Quicksight Tableau etc. to design and develop impactful analyses and and execute the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance.

- 8 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
- Experience building measures and metrics and developing reporting solutions
- Experience with data visualization using Tableau Quicksight or similar tools

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt 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 $117300/year in our lowest geographic market up to $202800/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
This position will remain posted until filled. Applicants should apply via our internal or external career site.


Required Experience:

Senior IC

Employment Type

Full-Time

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