Oak Street Health - Chicago, IL
posted 5 months ago
About the position
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.
Responsibilities
- Leads build of new data models to support analytics, Tableau dashboards and self-serve tools.
- Creates standards for data extracts and SQL queries and optimizes efficiency and execution of analytics data models.
- Ensures new data models accurately measure KPIs, metrics, and supporting details and documents code and standards for use in dashboard creation and other data models.
- Collaborates with internal program and analytics staff around all evaluation and analysis activities.
- Handles new requests for internal and communicates changes with external partners.
- Leads the creation of visualizations and patterns to communicate actionable metrics.
- Establishes relationships with internal and external partners to ensure creation of standardized dashboards.
- Assists in creating uniform business rules that will be used in visualization and dashboard creation.
- Other duties as assigned.
Requirements
- Undergraduate degree or equivalent work experience.
- 4 or more years of data engineering or analytics engineering experience.
- Proficient in SQL and data modeling, and experience building new data models to support analytics functions.
- Azure Data Factory experience (orchestration and automation experience in an Azure environment preferred).
- Experience working with Tableau developers and diverse technical and non-technical teams to build and validate models.
- Ability to communicate clearly to stakeholders and internal team members, and to lead effective change.
- Healthcare experience preferred.
- Business process understanding.
- US work authorization.
Nice-to-haves
- Experience in healthcare analytics.
- Familiarity with data visualization best practices.
- Knowledge of ETL processes and tools.
Benefits
- Mission-focused career impacting change and measurably improving health outcomes for Medicare patients.
- Paid vacation, sick time, and investment/retirement 401K match options.
- Health insurance, vision, and dental benefits.
