Job Location: Remote
- Bachelor’s Degree in Information Science, Data Science or a related field
- 5+ years of experience with Analytics/Data Science/BI space
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs
This role can be virtual/remote anywhere in the United States. Preference is near an Amazon Corporate office in Seattle, LA, Arlington, VA or NY.
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 across three lines of business – SVOD, Channels and TVOD. To help us fulfill this mission, we are seeking a competent, curious, resourceful, and experienced Sr. Business Intelligence Engineer to develop new insights about our customers, help grow our Prime Video business globally, and create innovative and engaging customer experiences. The team presents an exciting opportunity to work on very large data sets in one of the world’s largest data warehouse environments.
As a Sr. Business Intelligence Engineer on the team, you will work closely with cross-functional counterparts in engineering, product management, content acquisition, finance, marketing, and merchandising to drive strategic decisions using data science and analytics.
Key responsibilities include: – Establish goals, plans, and related metrics; track progress; and manage through obstacles to achieve program objectives
- Partner with business stakeholders to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
- Define the structure of our reporting mechanisms and dashboards for key metrics to illustrate and communicate organizationally on the progress against goals
- Utilize database and reporting technologies, including SQL, ETL, Redshift, Tableau etc. to design and develop impactful analyses, insights and automated reporting.
- Develop prototypes of predictive models using classification, regression and similar data science techniques to automate customer journey marketing initiatives
- Manage and execute the full development lifecycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.
- Master’s Degree in Information Science, Data Science or a related field
- Proven ability to solve complex quantitative business challenges
- Verbal/written communication & data presentation skills, including experience to effectively communicate with both business and technical teams.
- Experience in marketing analytics, machine learning, statistics and design of experiments.
- Experience with ML/scripting languages (Python/R) to develop working prototypes
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.
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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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