Amazon Business Intel Engineer ACES Analytics 

United States, Washington, Bellevue 

78623944

We are looking for a detail-oriented, highly analytical, innovative, hands-on, technically skilled, and customer-obsessed analyst who will help in developing best-in-class solutions for the middle mile network, to deliver high quality customer experiences while minimizing cost and improving fulfillment speed. This role will require the candidate to work cross functionally and understand the long term requirements of the all programs that leverage the sort centers. The ideal candidate will have excellent analytical and communication skills and the ability to thrive in ambiguous situations.Key job responsibilities
• Taking the lead on the design, implementation, and delivery of BI solutions in a highly ambiguous and significantly complex problem space that have a long-term impact on a business, organization, or technology.
• Provide data management processes such as accessing raw data feeds, building queries and macros, organizing data and designing reports that present status-at-a-glance visualization for business performance.
• Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
• Strong quantitative skills to develop reporting mechanisms to deliver strategic insights
• Collaborating with multiple stakeholders within ATS NASC team to drive solutions that will have a tangible impact to the business.
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
• Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.
• Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
• Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.
• Innovating to improve customer experience.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling