Rad AI
Business Analytics Engineer, Customer Insights
$150K–$190K
United States - Remote · Remote · Full-time · Posted Oct 16, 2026
- Experience
- 2–5 years in analytics engineering, data science, or business/BI analysis; customer- or stakeholder-facing exposure is preferred.
About the job
Build governed data models, metrics, and customer-facing dashboards that help radiology groups and health systems understand their reporting data, while partnering with customers to define and explain useful analytics.
What you'll do
- Connect the data platform to the warehouse, resolve customer-specific data-quality issues, and help define data contracts.
- Gather customer requirements and build reusable semantic models, metrics, and dashboards with appropriate statistical rigor.
- Use AI agents to describe, model, and document data; verify their output and explain findings and caveats to customers.
What they ask for
- Strong SQL and working statistics fluency, including confidence intervals, significance testing, sample sizes, and outliers.
- Experience defining or maintaining a semantic layer and working in a governed BI/semantic-layer tool and a SQL/Python exploration environment.
- Comfort with dbt/Snowflake-style modeling environments.
- Demonstrated AI fluency, customer-stakeholder discovery skills, and ability to communicate findings to non-technical audiences.
Nice to have
- Healthcare, health IT, or regulated-industry data experience; familiarity with radiology concepts such as PACS or HL7/FHIR.
- Experience with customer-facing analytics products, multi-tenant data governance, or selling into hospitals and health systems.
Pay
$150K – $190K (base salary)
Tools
SQL, Python, Omni, Looker, Sigma, ThoughtSpot, Hex, dbt/Snowflake
AI focus
Use AI agents to describe, model, and document data relationships, and verify their output; provide examples of recent AI use that meaningfully changed data work.
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