- Use SQL, dbt, CI/CD, Github, and Google Cloud to automate data transformation pipelines.
- Use Data Visualization tools to create intuitive data products.
- Contribute to meetings with stakeholders and engineering teammates.
- Build subject matter expertise within the insurance domain.
- Recommend and adopt data governance best practices to improve data quality.
- Construct data validation checks and automated unit tests.
- Collaborate with other data analysts and engineers, sharing work and cross-training others.
- Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation.