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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 baseA 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.
- 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
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