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Senior Business Intelligence Engineer, Prime Video: Playback Intelligence
2 months ago
We are seeking a highly skilled Business Intelligence Engineer to join our Prime Video team. As a Business Intelligence Engineer, you will be responsible for designing, building, and maintaining data solutions to support business decision-making.
Key Responsibilities- Develop high-quality data architecture and ETL data pipelines using SQL and scripting to enable business intelligence solutions.
- Retrieve and analyze data using a broad set of Amazon's data technologies, including AWS S3, Glue, SageMaker, and Amazon Internal Platforms/Solutions.
- Design, build, and maintain self-service automated reporting, analyses, and dashboards to enable data-driven decisions across the team and with partner teams.
- Report key insights and trends using statistical rigor to inform the larger team of noteworthy trends that impact the business.
- Monitor and report on performance by collecting, analyzing, and summarizing performance data and trends, identifying and resolving problems, and developing recommendations.
- Work closely with business stakeholders and leadership teams to define the analytics roadmap and structure of our data solutions.
- Manage and execute analytics solutions end-to-end, including project management, data gathering and manipulation, modeling, problem-solving, and communication of insights and recommendations.
PVXT Intelligence is a team that owns the data platform, streaming metrics computation engine, published datasets, and customer-facing tooling for accessing petabytes of data. We support a range of customers, including playback engineers, partner teams, and operators monitoring live international sports events.
Requirements- 10+ 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.
- Prior functional experience in video streaming and/or media & entertainment.
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.
