Amazon Business Analyst Brand Registry 

United States, Washington, Seattle 

549744992

Key job responsibilities
As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets.
From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.A day in the life· You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to extract and transform data
· Draw inferences and conclusions, create dashboards and visualizations of processed data, identify trends & anomalies
· You should have business communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately

- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders

- Experience on working with Science/ML/AI