Amazon Business Intelligence Engineer Selling Partner Insights Analytics 

United States, Washington, Seattle 

359627994

Key job responsibilities
The successful candidate will be highly self-directed, possess superior analytical skills, exhibit a strong attention to detail, be able to multi-task and react with appropriate levels of urgency to situations and events that require quick response or turnaround; demonstrating the ability to deliver results in a fast paced, ambiguous environment.
The successful candidate will:
• Create and refine Voice of Customer metrics using Natural Language Processing for requested insights.
• Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
• Monitoring existing metrics, developing and proposing new metrics, and working across the SPS organization to make actionable intelligence available to business stakeholders.
• Developing requirements and specifications with business and development teams.
• Analyzing, diagnosing, and recommending required changes to improve the support experience for Amazon Selling Partners.
• Work with management teams across all functional areas within the SPS network to create automated and/or ad-hoc reporting.
• Validate the data quality of a variety of data sources and ensure they will support the analysis requirements.
• Utilize SQL and SAS to manipulate the data into the necessary structure. This includes outlier analysis, data linking, missing variable treatment, and data exploration.
• Learn the necessary data storage and ETL processes to move data into BI platforms built on AWS technology.
• Analyze free text data sets for critical insights, patterns, and trends in order to develop and communicate ROI opportunities to the management team.
• Work with cross functional groups to combine VOC with other data sources and complete a full root-cause-analysis

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in Statistical Analysis packages such as R, SAS and Matlab

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift