Prime Video (PV) brings together the world’s best creators with the most passionate communities in a way that no other entertainment brand can. Not only are we a one-stop hub for distinctive, critically-acclaimed and award-winning original programming including TV series such as The Boys, The Marvelous Mrs. Maisel and Jack Ryan and movies like Air, Coming 2 America, Cinderella, and The Tomorrow War, but we offer a multi-dimensional experience that allows subscribers to fully immerse themselves in their fandom: to read the book, to listen to the soundtrack, to buy the costume, to replay live sports in real time, and more. And that breadth and connection to the Amazon family of brands, along with the support of a passionate and diverse global team, makes Prime Video a company where creators and makers of all kinds can build their future.
Within our Prime Video Global Operations team, we’re looking for a results-driven BI Engineer to drive our data strategy, reporting automation, insights, and planning capabilities. In this role, you will be responsible for taking data from marketing and business teams, finance, HR, strategy, product, and tech to develop robust workforce data reporting and insights for Amazon PV.
This individual has proficiency in employing business intelligence solutions, excellent analytical abilities, strong business operations fundamentals, and good judgment. The role will be responsible for enhancing PV’s Global Marketing Operations data collection, operational metrics, and partner reporting capabilities in order to build the data infrastructure. In this role, you will be responsible for developing operational, marketing, and human capital data into an automated reporting suite, and leveraging tools and expertise that will enable PV to map enterprise strategies into actionable delivery plans. You will influence data driven business decisions that results in quantifiable outcomes, understanding complex business relationships, and developing a correlation between your work and PV’s financial drivers.
The ideal candidate has a strong sense of ownership, is self-driven and loves to break new ground. You will bring a mix of experience including data management and governance, reporting automation, complex global program management, senior stakeholder management, cross-functional collaboration and process improvement. If you enjoy leading global strategic initiatives, working in a fast-paced dynamic environment, and being challenged by new problems, we’d like to speak with you!
Key job responsibilities
* Design, develop and maintain scaled, automated, user-friendly systems, ongoing metrics, reports, APIs, dashboards, etc. that will support our business needs.
* Define the data elements and data structure that the PV Marketing Global Operations team should leverage to enable analytical and reporting capabilities for the business development team.
* Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets.
* Prepare management reporting and monitor performance by collecting, analyzing and summarizing performance data and trends, identifying and resolving problems and developing recommendations
* Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow presence in new and existing territories.
* Partner with operations/business teams/science/and tech teams to consult, develop and implement KPI’s, automated reporting/process solutions and data infrastructure improvements to meet business needs.
* Help drive new initiatives and data integration projects.
* Serve as liaison between the Business and Product/Technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
* Serve as a conduit between our team and regional marketing teams to help meet their data and reporting needs
* Create marketing campaign forecasting capability that optimizes budget and staffing to meet marketing needs
* Prioritize effectively in a fast-paced environment and highly-matrixed organization.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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