Senior Business Intelligence Engineer, Amazon Customer Service
Amazon
Operations, Data Science, Customer Service
Seattle, WA, USA
Description
Have you ever thought about what it takes to provide millions of customers with help across hundreds of social handles, globally, while protecting their privacy and security? The Customer Service - Social team within Amazon Customer Service (CS) is looking for a Sr. Business Intelligence Engineer (BIE) who is passionate about translating business problems into business insights, and can thrive working in a diverse, global team.
Key job responsibilities
- Define the organizations business intelligence strategy, and influence the architectural decisions.
- Provide business intelligence solutions that solve complex problems for the organization, and inform multiple business decisions.
- Build a robust, extensible, and scalable reporting structure.
- Contribute to business reviews, and communicate effectively with leadership audiences.
- Define, and iterate on data strategies that cross multiple CS teams.
- Drive best practices in operational excellence, data modelling, and analysis.
- Hire, mentor, and develop others
A day in the life
As a Sr. Business Intelligence Engineer within Customer Service - Social, you're helping us understand current, and past customer behavior, to influence the solutions we build to deliver the best future experience. You're constantly identifying ways in which we can improve our understanding of the business, to make faster, more confident decisions.
About the team
Social is a fast-paced, ever-evolving world, where new features and channels launch constantly, and customers’ behavior varies by social media app, demographic, and the type of support they need. Customer Service – Social is innovating to meet those challenges, scaling service to the customers who need help today, and building new solutions for the next generation of customers. We benefit from being part of the wider Customer Service organization, one of the most tenured teams at Amazon, so can learn from the experience of building tools to assist customers on traditional channels such as email, phone, and chat.