Apply software engineering best practices to analytics code Transform, test, and document data Provide clean and organized data sets to end users Build and maintain data pipelines Optimize SQL query performance Transform raw data into business insights Develop analyses to answer critical business questions Create data visualizations Help stakeholders explore and understand data visualization tools Build new analyses and support existing ones using SQL and Python Apply software engineering principles like version control and continuous integration to the analytics codebase Expand the data warehouse with clean data ready for analysis Apply advanced data testing strategies Implement validation checks and automated testing procedures Work with stakeholders to define business logic and data expectations Surface insights to stakeholders Lead initiatives and problem definition, scoping, design, and planning Build tools and automation to run data infrastructure Manage large-scale data migrations in relational datastores