Candidhealth
Analytics Engineer
San Francisco. Posted 6 months ago
The role
You will build and deliver data models, reporting, and analytics for various use cases. You will improve and scale data infrastructure to enable future ML and AI products.
What you will do
- Build and deliver critical reporting, analytics, and data models
- Improve and scale data infrastructure
- Implement new processes and systems for data collection and analysis
- Work with engineers to understand complex production data
- Ensure tooling and visualization platforms are accurate and available
Required qualifications
- Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
- 4+ years of experience working in a Data Science, Data Analytics, or Data Engineering at a high growth startup or scaled technical organization
- Experience working with data models, data pipelines and performing analysis
- Hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
- Strong understanding of SQL and use of it in complex data environments
- Clear and concise communicator
Nice to have
- Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT
Benefits
- Equity
- Employee benefits
About the company
Candid Health is positioned to unlock transformative technology for healthcare providers.