Analytics Engineer

Who you are

• 1+ years of experience in Analytics Engineering, Data Science, or a related field
• 1+ years of experience working with SQL
• 1+ years of experience developing in a semantic modeling language (e.g. LookML)
• 1+ years of experience developing within a modern data transformation tool like DBT
• 1+ years of experience with cloud database tools (GCP, AWS, Azure)
• Experience working with healthcare or insurance industry data, analytics, and reporting
• Experience with Google Cloud Platform and dbt
• Experience building dimensional models (star schemas, slowly changing dimensions)
• Strong communication skills, as demonstrated by experience partnering with non-technical stakeholders

What the job involves

• The Analytics Engineer I designs, builds, and maintains dimensional models and data transformations that convert raw operational data into reliable, well-structured analytical assets
• You’ll work within Oscar’s unified data foundation in dbt, partnering with domain experts and stakeholders to capture business logic and translate it into dimensional models that serve analytics use cases across the organization
• Under the guidance of more senior Analytics Engineers, you’ll build and maintain models, implement automated tests to ensure long-term data product health, and contribute to the semantic layer that powers enterprise business intelligence
• This is a hands-on role focused on growing your craft in dimensional modeling, SQL, and analytics engineering within a healthcare environment
• You will report into the Associate Director, Data Science
• Demonstrates a strong working knowledge of Oscar's analytics technologies and tools as well as the breadth of content contained within
• Contribute to the development and documentation of best practices for engineering and analytics development, consistent with industry standards and internal guidelines
• Under the guidance of more senior Analytics Engineers, partner with Subject Matter Experts and Business stakeholders to explore data, define business requirements, design and implement solutions for one or more data transformation and/or downstream semantic layer systems
• Advance the Analytics Engineering roadmap by executing on small-to-medium projects with minimal oversight
• Contribute to the administration of the analytics platform, including but not limited to active participation in support channels and actioning access requests
• Leverage a working knowledge of existing data quality checks as well as monitoring and alerting pipelines to perform Root Cause Analyses of data defects as needed and escalate to the appropriate team when warranted