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.
About the team
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- 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
- Exper