Sr.Business Intelligence Engineer

Job description

DESCRIÇÃO

Voice-driven AI experiences are finally becoming a reality and Amazon’s Alexa cloud service and Echo devices are at the forefront of this latest technology wave. We deliver world-class products on aggressive schedules that are used every day, by people you know, in and about their homes. At the same time, we obsess about customer trust and ensure that we build products that respect customers. The Alexa Sensitive Content Intelligence (ASCI) team builds policies, services, machine-learning models and tools to detect and mitigate sensitivity content across Alexa. We protect our customers from getting exposed to profanity, offensive and sensitive content. We are looking for an experienced, and technically adept analytical leader who can help shape the business strategy, and influence roadmap to deliver products and services that customers love.

As a BIE, you will have an enormous opportunity to impact the customer experience. A successful candidate will be a self-starter, willingness to learn new things, comfortable with ambiguity, paying attention to details, you should be comfortable dealing with large and complex data sets, and have experience building self-service dashboards and using visualization tools. You should have strong analytical and communication skills and be able to work with Product managers, Applied Scientists, and Engineers to define key business and performance indicators, build data sets and models and extracts key insights from them.

Key Tasks Include:
· Develop new and innovative analyses to inform business strategy. Those analyses will determine approaches and roadmap for key strategic initiatives.
· Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions across our team and with partner teams.
· Establish and manage new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives and uncovering areas of opportunity.
· Formulate and present clear communications for recommended actions.
· Collaborate with product, technical, and operational leaders to gather data and metrics requirements.
· Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
· Scope, build and own technical data warehouse processes to help the business scale.