Manager, Business Intelligence, Prime Video Trust & Safety Ops
Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Engineering · Data Analysis
In short
Prime Video Trust & Safety seeks an experienced BI and Analytics Leader to own and scale the BI stack. This role involves building data infrastructure, creating self-service dashboards, and leading a team of analysts to drive operational decision-making and ensure content compliance across global markets.
Responsibilities
- Own and scale the end-to-end BI stack for Trust & Safety, including data pipelines, data modeling, warehousing, instrumentation, and reporting.
- Establish and maintain the Trust & Safety Datamart as the single source of truth for operational metrics, coverage, accuracy, speed, and cost-to-serve.
- Design and implement instrumentation strategies within T&S products to capture meaningful telemetry.
- Build self-service dashboards, reporting frameworks, and analytics capabilities.
- Define and enforce data quality standards, governance practices, and documentation.
- Lead, mentor, and grow a high-performing team of 6+ analysts.
- Partner with Engineering teams to influence system design and ensure data capture requirements are integrated into product architecture.
- Develop scalable data models that support both current operational reporting and future analytical needs.
- Drive efficiency through automation of recurring reporting, data validation, and pipeline monitoring.
- Translate complex data into clear narratives and actionable recommendations for senior leadership.
Requirements
- 10+ years of business intelligence and analytics experience.
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience.
- Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding.
- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field.
- Experience programmatically testing products, measuring test coverage, developing the best automation, driving testability and diagnostic.
Desired Qualifications
- Master's degree in computer science, machine learning, engineering, or related fields, or experience including, building and maintaining data flows and pipelines.
- Experience working with industry tools and analytics packages, including web analytics, targeting, testing, CRM, and marketing automation platforms.
- Knowledge of real-time or near-real-time data architectures and streaming data systems.
- Experience with infrastructure-as-code and CI/CD for data pipelines.
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Workplace accommodation or adjustment for individuals with disabilities during the application and hiring process.
#business intelligence#analytics#data pipelines#data warehousing#reporting#automation
Company
Amazon
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
Bengaluru, India
Qualification
Bachelor
Applicants
Be an early applicant