Sr. Business Intelligence Engineer, Amazon Prime Video CF Data, Insight and Analytics Team

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

Prime Video offers customers a vast collection of movies, series, and sports-all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership.

More than 200 million Prime members around the world enjoy access to Amazon's enormous selection, exceptional value, and fast delivery.

As a Sr. Business Intelligence Engineer you will collaborate with cross-functional business teams to build high impact tools that solve business needs. Our engineers create automated and scalable analytical data products that will ultimately be critical in driving the growth and expansion of the business.

Key job responsibilities

- Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.

- Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Statistic modeling and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers.

- Partner with data engineers and SDEs to build best-in-class data architecture and pipelines to support analytics needs.

- Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.

- Partner with scientists to translate business insights and trends into experimentation and testing, and modeling.

- Mentor and develop other analytics team members.

About the team

The position will be based in Seattle but you will work with a Global team spanning the US, Europe, India, and Japan.

BASIC QUALIFICATIONS

- 5+ 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

PREFERRED QUALIFICATIONS

- Experience working directly with business stakeholders to translate between data and business needs

- Experience managing, analyzing and communicating results to senior leadership

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.

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