Business Analytics Engineer, Customer Insights

🕒 October 16

🇺🇸 United States – Remote

💵 $150k - $190k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 7%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rad AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🏥 Healthcare

🏭 Manufacturing

🔧 Hardware

💰 $25M Series A on 2021-11

Healthcare • Manufacturing • Hardware

Rad AI is a company that specializes in custom manufacturing and processing solutions, particularly in the fabrication of components such as casters and material handling devices. They offer a range of products including adjustable casters and OEM parts designed for various industrial applications. Based in Somerset, Michigan, Rad AI is committed to high-quality engineering and manufacturing services.

📋 Description

• Connect the new data platform to the existing warehouse • Troubleshoot and fix customer-specific data quality issues • Help define the data contract • Gather and translate requirements with radiology administrators, quality/operations leads, informatics teams, Product, and internal partners • Design and build governed semantic layers, metrics, joins, reusable models, and customer-facing dashboards • Apply statistical rigor to healthcare reporting data, including confidence intervals, risk adjustment, exclusions, and caveats • Direct AI agents to describe, model, and document data relationships and verify their outputs • Own data quality end-to-end for customer-facing outputs • Detect and explain anomalies and document sample-size exclusions, data lag, and definitional edge cases • Build durable, reusable data products using dbt/Snowflake-style modeling practices • Partner with Product, Engineering, and Customer Success to prioritize impactful metrics and dashboards • Present findings and explain metrics and statistical caveats to radiologists, hospital administrators, and executives

🎯 Requirements

• 2–5 years in an analytics engineering, data science, or business/BI analyst role • Customer- or stakeholder-facing exposure • Demonstrated AI fluency, including recent examples of using AI to describe, model, or document datasets and verify outputs • Strong SQL, including writing and optimizing complex queries • Working statistics fluency: confidence intervals, significance testing, sample-size considerations, outlier and skewed-distribution handling • Experience with a modern governed BI/semantic layer tool such as Omni, Looker, Sigma, or ThoughtSpot • Experience with a SQL/Python notebook or exploration environment such as Hex or Mode • Comfort in dbt/Snowflake-style modeling environments • Direct experience defining or maintaining a semantic layer • Demonstrated ability to run discovery with external stakeholders and define defensible metrics • Excellent written and verbal communication for presenting findings to non-technical clinical audiences • Authorized to work lawfully in the US • Healthcare, health IT, or regulated-industry data experience is a strong plus • Familiarity with radiology concepts such as PACS, HL7/FHIR, turnaround time, RVU, and template-driven reporting is a bonus • Experience with customer-facing analytics products, multi-tenant data governance, or companies selling into hospitals/health systems is nice to have

🏖️ Benefits

• Equity • 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

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