Amazon.com has been rated one of the most admired companies in the US, #1 most innovative, and # 1 in Customer Service. Amazon's technology business (AWS) has a history and tradition of leading the world in Web-related technologies and services. Now, with Amazon Web Services (AWS) you have the chance to help individuals and businesses within the start-up community, take their computing infrastructures and applications into the cloud.
The AWS Specialized Sales Operations team is looking for a talented, driven, self-directed Business Analyst to join an organization that is responsible for driving adoption of the AWS platform around the world. Specifically, this role will include defining, building and scaling metrics and analytical insights that will measure the success and drive the day-to-day behavior for the AWS Specialized Sales Operations team. You will work closely with members of the BD and Analytics teams to ensure we are capturing and surfacing the best data and information to make optimal business decisions. You'll collaborate with engineers to build self-service reports and establish automated processes for large scale data analyses. Successful candidates will be analytical with business acumen, and detail driven with excellent problem solving skills.
The ideal candidate will have a rock-solid background in data analysis, including experience extracting and manipulating data using SQL, leveraging advanced Excel features for data analysis, and producing digestible business intelligence and actionable information. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverable's. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally.
Ideal candidate profile
· Bachelor's degree
· 3-6+ years of industry experience in data analysis
· Experience in SQL and manipulating large data sets in a database