Business Intelligence Engineer II

Responsibilities

• Own data analytics projects from beginning to end, building reports and driving key recommendations to support Talent Acquisition leadership.
• Collaborate with recruiting operations, data scientists, and business leaders to define business processes and provide analytical support.
• Leverage code to analyze complex datasets and design, develop, and evaluate data transformations to solve business problems.
• Build scalable, efficient, and automated data processes and ETL pipelines to facilitate customer-facing reporting.
• Build dashboards and reports using visualization tools for recruiting leaders and business stakeholders.
• Perform complex data analysis across multiple systems to support both scheduled and ad-hoc reporting requests.
• Mine key performance indicators to discover root causes and identify relationships and trends.

Requirements

• 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar technologies.
• Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Engineering, Economics, or related).
• Experience with data visualization using Tableau, QuickSight, or similar tools.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Proficiency in using SQL to pull data from databases or data warehouses.
• Advanced Microsoft Excel skills, including pivot tables, macros, and complex formulas.

Preferred Qualifications

• Master's degree in a quantitative field such as Statistics, Mathematics, or Computer Science.
• Experience with AWS solutions including EC2, DynamoDB, S3, and Redshift.
• Experience using Python scripting to process data for modeling.
• Experience working with large-scale, complex datasets in a business environment.

About the Company

Amazon delights millions of customers around the world, and the Talent Acquisition team enables our business leaders to make informed and effective hiring decisions.