Business Analyst, Amazon Customer Service

Responsibilities include but are not limited to:
- Translate complex or ambiguous business problem statements into analysis requirements.
- Proactively and independently work with stakeholders to define analytical approach and construct use cases.
- Build knowledge on data and metrics of the wider business for providing the big picture on the customer experience and how it translates into business metrics.
- Solve ambiguous analyses with non-defined inputs and outputs; dive into the heart of the problem and identifies root causes.
- Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes.
- Work with a variety of data sources and large data sets, pull data using efficient query development and provide a holistic and consistent view of the data.
- Provide insights through basic statistical measures such as hypothesis testing for improvement initiatives.
- Actively drive automation of data requirements by scaling data processes and create self-service tools.
- Communicate complex analytical insights and business implications effectively.
- Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.

Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience in financial/business analysis, Master's degree in computer science, engineering, mathematics or equivalent

Amazon's Customer Service (CS) department is seeking an experienced Business Analyst to join the team. CS is the heart of Amazon; our vision is to be Earth's most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online.

The successful candidate will be a key member of the Amazon CS Data Analytics Support Hub (DASH).
The team mission is to shape the future of decision making using next generation analytics technologies, insights, and improve the customer experience together with our worldwide (WW) partners under the Quality & Escalations space., Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.