Business Intel Engineer II, DISCO

About this role

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Skills you'll use

What you'll do

• Key job responsibilities
• Manage a portfolio of BI solutions (Data Products, Analysis, Dashboards) related to supplier management (performance & risk management, diversity & inclusion etc. ), work with multiple stakeholders and communicate effectively progress and blockers with the project team and sponsors.
• Develop ETL jobs and analytical layers that require in depth knowledge in scripting and AWS technologies (S3, Redshift, Glue, Lambda).
• Implement metadata management and follow core data governance practices
• Develop visualizations that are fast and easy to comprehend.
• Adopt existing best practices or contribute to improving them; solution design, development, validation and documentation practices.
• A day in the life
• A Business Intelligence Engineer manages requirements from a large group of customers, understands how they operate and is able to build solutions that return the right strategic value back to the organization. Improves the way that customers interact with data and analytics. Works cross functionally, interacting with other tech and non-tech teams globally to align on requirements and solutions. Develops and maintains strong networks and partnerships across organizations, builds trusted relationships. Keeps customers and stakeholders up to date. Innovates in data engineering, analysis, statistics and visualization.

Who can apply

• - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• - 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
• - Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt 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 using SQL (Structured Query Language) to pull data from a database or data warehouse
• - Experience using Python scripting to process data for modeling

About Amazon

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