Analytics Engineer, Conversational Analytics
Hybrid (New York, NY)$137.3k - $166kFull-timePosted 4w ago
About the role
Analytics Engineer to unlock Conversational Analytics at Ro, focusing on data modeling for LLM-driven conversational analytics and enabling self-service data access for stakeholders.
Responsibilities
- Embed with a stakeholder team for 2-3 months to build business fluency and relationships.
- Build foundational data models, semantic models, documentation, and context powering conversational analytics across data domains (growth, product, business metrics, operations, etc.).
- Develop core analytic frameworks and standardized semantic models to shape company thinking about the business.
- Communicate and collaborate with stakeholders to identify opportunities and standardize data approaches across the company.
- Teach and guide stakeholders on best practices for using LLMs for data needs, and distill learnings into reusable training materials.
- Develop and maintain AI evaluations for conversational analytics, track accuracy programmatically, and build stakeholder feedback loops.
Qualifications
- 4+ years of full-time experience in quantitative analysis roles, with experience in data modeling in DBT.
- Hands-on experience using LLMs for coding and analytics, building data products via LLM workflows.
- Expert-level SQL skills.
- Experience using BI tools (Hex and Looker) to convey information.
- Strong communication and teaching skills.
- Strong problem solving, analytical aptitude, and numerical dexterity.
- Demonstrated track record of project ownership.
Skills
Required:SQLDBTLLMs for coding and analyticsBI tooling (Hex, Looker)Communication and teaching
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Ro
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