Business Intelligence Engineer , Amazon Corporate Security

Business Intelligence Engineer , Amazon Corporate Security

Amazon Corporate Security's (ACS) Business Assurance Center (BAC) is seeking a Business Intelligence Engineer who will help drive data-driven decision making through development of metrics, dashboards, and analytical solutions. This role will be instrumental in understanding customer behavior, designing new models to connect disparate data sources, analyzing trends, and delivering actionable insights for business decision-making.

Key job responsibilities
Develop data visualizations & dashboard designs that meet a wide range of customer needs and raise the bar for analytical excellence
Work cross-functionally with stakeholders to design and implement ETL pipelines
Provide technical mentorship and guidance to engineers and analysts, including code reviews, architectural guidance, and career development support
Dive deep into varied data sources to understand relationships between metrics, surface insights, and implement new data models
Three or more (3+) years of working cross functionally with tech and non-tech teams experience
Use statistical models with large, multidimensional datasets to uncover trends, patterns, and opportunities
Identify and recommend opportunities to automate processes
Perform ad hoc analysis to quickly solve time-sensitive operational issues
Clearly communicate discrepancies and findings, including root cause analysis and resolution steps to a broad user base

A day in the life
In a typical day, a BAC Business Intelligence Engineer might work to establish new metrics for security operations, analyze trends in security data, or develop dashboards for tracking key performance indicators. You'll prototype solutions for technical review by peers, implement ETL pipelines, and work independently to root cause data anomalies. You'll be expected to understand business implications and recommend courses of action through crisp documentation for senior leaders.

About the team
Our team is dedicated to supporting new members. We are committed to building an environment that celebrates knowledge sharing and mentorship. We care about your career growth as a passionate learner who is motivated to take on challenges. We value finding work-life harmony while respecting our 24/7/365 remit, and work collectively to ensure team members can cultivate a balance that supports a productive and well-balanced life. Our work to ensure the safety and security of Amazon employees is serious; our team values humor and embodies mutual respect to foster creativity and innovation to meet our mission.

BASIC QUALIFICATIONS

- 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

PREFERRED QUALIFICATIONS

- 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

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