Oak Street Health - Chicago, IL
posted 4 months ago
The Sr. Analytics Engineer at Oak Street Health will play a pivotal role in the creation and optimization of data models, queries, and tools that support Enterprise Analytics and various analytics teams. This position requires collaboration with analysts and Tableau developers to build views, tables, and streamline direct queries, ensuring that data access and metric creation/display are standardized across the organization. The engineer will be responsible for establishing analytics data model standards and patterns, enhancing existing tools to better support operational teams, and documenting all analytics data models while managing changes effectively. Additionally, the role involves working closely with Data Engineering teams to elevate models within the ETL workflow, ensuring that the analytics infrastructure is robust and efficient. In this role, the Sr. Analytics Engineer will lead the development of new data models that support analytics and Tableau dashboards, creating standards for data extracts and SQL queries to optimize the efficiency and execution of analytics data models. They will ensure that new data models accurately measure key performance indicators (KPIs) and metrics, documenting code and standards for dashboard creation and other data models. Collaboration with internal program and analytics staff is essential for all evaluation and analysis activities, and the engineer will handle new requests for internal data while communicating changes with external partners. The creation of visualizations and patterns to communicate actionable metrics will also be a key responsibility, as will establishing relationships with internal and external partners to ensure the creation of standardized dashboards. The engineer will assist in creating uniform business rules that will be utilized in visualization and dashboard creation, along with other duties as assigned.