Business Analytics Engineer, Customer Insights

radai; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Health savings account

401(k)

Paid holidays

Flexible PTO

Equipment stipend

Job summary

radai is building customer-facing analytics for radiology groups and health systems. You will combine data engineering, analysis, and customer partnership to establish data foundations and model reusable measures in a healthcare context.

You will work with customers and internal teams to clarify measurements, develop governed data models and dashboards, and apply statistical judgment to handle small samples and outliers. AI agents will assist in describing and documenting data relationships.

Qualifications

• Analytical rigor and data quality are essential for trusted analytics.
• Ability to translate customer needs into reusable data measures.
• Explain analytics and caveats to non-technical audiences.

Responsibilities

• Connect new data platform to existing warehouse and resolve customer data quality issues.
• Clarify what to measure with customers and stakeholders to guide analysis.
• Create governed, reusable data models, metrics, and dashboards for multiple customers.

Skills

Analytical rigor

Data quality

Customer discovery

Reusable metrics

Tools

dbt modeling

Snowflake

Job description

Role overview

Build customer-facing analytics for radiology groups and health systems, turning their questions into dependable metrics and dashboards. This role combines data engineering, analysis, and customer partnership: establishing data foundations, modeling reusable measures, and explaining results in a high-stakes healthcare context.

Responsibilities

• Connect a new data platform to an existing warehouse, resolve customer-specific data quality issues, and help establish data contracts.
• Work with customer and internal stakeholders to clarify what they need to measure and what decisions the analysis should support.
• Create governed, reusable data models, metrics, and dashboards that can serve multiple customers rather than one-off reporting requests.
• Apply statistical judgment to account for small samples, outliers, seasonality, and differences in case mix; document caveats where needed.
• Use AI agents to help describe, model, and document data relationships, then verify their outputs.
• Monitor the quality of customer-facing results, explain anomalies and limitations, and collaborate with product, engineering, and customer success teams.

Requirements

• The supplied source emphasizes analytical rigor, data quality, customer discovery, and the ability to make metrics reusable across varied data volumes and reporting patterns.
• Able to explain analytics and data caveats to non-technical audiences, including radiology administrators, quality leads, and informatics teams.
• Able to judge when results need confidence intervals, risk adjustment, or exclusions due to sample size or other data limitations.
• The source mentions dbt- and Snowflake-style modeling practices as an approach for durable, reusable data products.

Nice to have

• Experience with multi-tenant data governance, including row-level security and separating customer data in embedded analytics.
• Experience selling to or working with hospitals and health systems, including familiarity with procurement and IT review processes.

Benefits and work setup

• The role’s location is not specified in the provided material. Benefits listed for US-based full-time roles include medical, dental, vision, and life insurance; health and dependent care accounts; a 401(k); paid holidays; flexible paid time off; company and team gatherings; and an annual equipment stipend.