Analytics Engineer, Conversational Analytics
Ro · US · US
Health Tech
Hybrid
Not yet analysed
Demand80
Career growth75
Healthcare fit55
Remote potential70
5-year outlook
Competitive for health tech analytics roles, with strong growth potential as AI/LLM-driven analytics expands across the industry.
Clinical license
Not required
Applicant reach
broad
Seniority
mid
Employment type
full-time
Date found
2026-09-17
Intelligence details
Why this is worth applying to
Clinicians with strong data/analytics skills (e.g., SQL, Python, dbt) and an interest in AI/LLM applications should consider this role—it leverages healthcare domain knowledge to build self-service analytics tools. However, without technical data engineering experience, it may be a stretch.
Who should apply
Clinicians with prior data science, informatics, or analytics experience, especially those comfortable with SQL and data modeling, and interested in health tech product development.
CV angle
Highlight clinical domain expertise and any experience with data analysis, SQL, or healthcare data systems. Emphasize ability to translate clinical/business questions into data requirements and train non-technical stakeholders.
Skills to highlight
- SQL
- Data modeling
- dbt
- Python
- LLM evaluation
- Stakeholder training
- Communication
- Healthcare domain knowledge
Role summary
An Analytics Engineer at Ro will build data models and semantic layers to power conversational analytics (LLM-based), and train non-data stakeholders to self-serve insights from the data stack.
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