Business Intelligence Engineer , Worldwide Engineering and Innovation North American Sortation and Ultrafast Engineering

About the role

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Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting 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
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, TN, Nashville - 94,600.00 - 160,000.00 USD annually
• USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually

Additional Information

The Business Intelligence Engineer (BIE) will be part of a high-visibility, growth in a dynamic, entrepreneurial NASC Engineering team focused on innovation and automation initiatives that supports the North American Sort Centers. We are seeking an exceptionally talented and deeply focused BI Engineer with focused analytical skills who will build tools and reporting for senior leadership. The BIE will contribute to business outcomes by analytics using AWS QuickSight. The candidate will build their know-how rapidly and thrive in Amazon's high paced, Day 1 culture. The ideal candidate is a seasoned data professional with a strong bias for action, possessing expertise in data modeling, ETL, SQL, and Gen AI. Additionally, they should have an interest in presenting data in a visually appealing and easily digestible manner. In this role, you will play a key part in identifying complex business problems, recognizing opportunities, and implementing solutions to enhance MHE designs, report current MHE performance and processes. The BIE will need to be comfortable with ambiguity, adopt a results-oriented approach and detail-oriented methodology. Key job responsibilities Build and manage AWS QuickSight Dashboards Optimize and organize data pipelines into the visualization environment Collaborate with business users on requirements, objectives and measures Access large scale data and use analytical tools Provide input and recommendations on technical issues to data engineering, data science, and software engineering teams Contribute to data design, data modeling and data extracts/transforms Work on ambiguous and think big Gen AI initiative to improve user productivity In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment. A day in the life Realtime reporting. Leveraging AWS and Gen AI tools to be first to market in analytics with predictive and proactive solutions.

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