Analytics Engineer
City of Hope Duarte, California, United States
Hospitals and Health Care · 10,001+ employees
About the role
The Analytics Engineer will develop and maintain reusable data products and models within the Enterprise Data Warehouse to support self-service analytics. They are responsible for building data pipelines, integrating new data sources, and automating legacy reporting tools.
What they look for
Requirements
Candidates must have an undergraduate degree and at least 3 years of experience in SQL, Python, and data modeling. Proficiency in BI tools like Tableau and experience with ETL tooling such as dbt are required.
Full description
Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today.
Position Summary:
The fundamental role of the Analytics Engineer is to develop and maintain reusable data products that enable stakeholders to answer their own questions efficiently and effectively. They speak the language of data producers and consumers, translating analytical goals into models powered by the Enterprise Data Warehouse (EDW). Analytics Engineers make use of the EDW to create and maintain reusable data assets that enable self-service analytics across the enterprise.
As a successful candidate, you will:
- Building data models in the data warehouse using dbt to support data analysis needs, consolidate data sources, and establish a self-service reporting platform
- Work with Enterprise Data Warehouse team to integrate new data sources into the data warehouse as needed using Python or other EL scripting tools
- Building data pipelines with a variety of tools
- Ensure all stakeholders analytics needs are met by scoping projects, gathering requirements and prioritizing overall company needs
- Migration and automation of legacy reporting tools to a new platform focused on creating a unified data model in the data warehouse
Skills & Technologies:
- SQL
- Data warehouse/ETL tooling such as dbt, Airflow/Prefect, Python, and Snowflake
- Tableau (our current visualization tool) or related BI tool
- Attention to detail and willingness to learn a variety of analytics and reporting tools
- Familiarity using a scripting language to manipulate data, Python strongly preferred
Bonus Experience:
- Experience developing and maintaining custom data pipelines with Python
- Experience with Kimball style Dimensional Modeling
- Experience developing unified data models in dbt
- Healthcare data experience
- Moving from Microsoft SQL Server to Azure Cloud
- SQL: 3 years (Required)
- Tableau or Similar BI Tool: 3 years (Required)
- Modeling data and Scripting: 3 years (Required)
- Performs other related duties as assigned or requested.
Your qualifications should include:
Minimum Education:
- Undergraduate degree
Minimum Experience:
- 3 years of related experience
- Experience SQL Server, Python and other scripting languages
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.
City of Hope is an equal opportunity employer.
To learn more about our Comprehensive Benefits, please CLICK HERE.
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