Business Analytics Engineer, Customer Insights

Rad AI, United States - Remote

The role

Rad AI is building out embedded analytics inside our reporting platform — giving radiology groups and health systems self-service visibility into their own reporting data: turnaround times, template usage, AI utilization, auto-launch accuracy, and more.

This role sits at the center of that effort: part data engineer, part analyst, part customer-facing partner. You’ll work with customers to understand what they actually need to see, then build the governed data models and dashboards that deliver it correctly, at scale, across customers with very different data volumes, specialties, and reporting patterns.

This is not a back-office reporting job. You’ll work with customer stakeholders (radiology administrators, quality leads, IT/informatics teams), with Product and an embedded analytics partner alongside you, translating ambiguous asks ("we want to see if our new templates are actually helping") into rigorous, reusable metrics and explaining them when a customer’s data looks stranger than expected.

All jobs

Business Analytics Engineer, Customer Insights

Rad AI, United States - Remote

The role

What you need

2–5 years in an analytics engineering, data science, or business/BI analyst role, ideally with some customer- or stakeholder-facing exposure (not purely internal reporting). Hunger and curiosity matter more to us than years.
Demonstrated AI fluency. Concrete examples from the last six months of how AI tools have meaningfully changed the way you work with data, including how you’ve used them to describe, model, or document datasets and how you check their output.
Strong SQL — comfortable writing and optimizing complex queries, not just filtering existing tables.
Working statistics fluency: confidence intervals, significance testing, sample-size considerations, handling outliers and skewed distributions, and the judgment to know when a metric needs a caveat versus when it's solid.
Experience with a modern governed BI/semantic layer tool (we use Omni; Looker, Sigma, ThoughtSpot, or similar is great) and a SQL/Python notebook or exploration environment (we use Hex; Mode or similar is fine).
Comfortable in dbt/Snowflake-style modeling environments: building something once and having it hold up for the next ten customers.
Direct experience defining or maintaining a semantic layer (entity/metric definitions, joins, governed fields, e.g., LookML, dbt Semantic Layer, or an equivalent governed-BI modeling layer), not just consuming one someone else built.
Comfort with ambiguity. You’re energized, not rattled, by undefined problems, messy data, and no existing playbook.
Demonstrated ability to run discovery with external stakeholders: asking good follow-up questions, pushing back on vague asks, and landing on a defensible metric definition.
Excellent written and verbal communication, able to present data findings to a non-technical, clinical audience without dumbing down the substance.
Healthcare, health IT, or other regulated-industry data experience is a strong plus (HIPAA awareness, understanding why "it depends on the payer/facility/specialty" is often the right answer).
Familiarity with radiology-specific concepts (PACS, HL7/FHIR, turnaround time, RVU, template-driven reporting) is a bonus, not a requirement. We'll teach the domain if the analytical and statistical instincts are there.

Nice to have

Experience building or maintaining a customer-facing (vs. internal-only) analytics product, i.e., you understand that a dashboard a paying customer sees is held to a different bar than an internal Slack chart.
Exposure to multi-tenant data governance (row-level security, per-customer data isolation) in an embedded analytics context.
Prior experience in a company selling into hospitals/health systems, understanding procurement and IT review cycles.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date!

Location Details

For roles listed as San Francisco - Onsite

This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote

This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote:

We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

Comprehensive Medical, Dental, Vision & Life insurance
HSA (with employer match), FSA, & DCFSA
401(k)
11 Paid Company Holidays
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
For roles based outside the US, your recruiter can share more details

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com http://radai.com or no-reply@ashbyhq.com.

Business Analytics Engineer, Customer Insights

The role

Business Analytics Engineer, Customer Insights

The role

What you will do

What you need

Nice to have

Location Details

For roles listed as San Francisco - Onsite

For roles listed as United States - Remote

About Rad AI

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