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Analytics Engineer, Conversational Analytics
$137K–$166K
New York, NY · Hybrid · Full-time · Posted Sep 16, 2026
- Experience
- 4+ years of full-time quantitative analysis experience, with a portion focused on data modeling in DBT. The posting also welcomes data analysts with demonstrable interest and project experience seeking to transition to analytics engineering.
About the job
Build data models, evaluation systems, and training resources that help stakeholders use conversational analytics and LLMs to get accurate, actionable insights from company data.
What you'll do
- Develop data and semantic models, documentation, and context for conversational analytics across business domains.
- Create and maintain programmatic LLM evaluations and stakeholder feedback loops; teach colleagues effective data and LLM practices.
- Initially embed with a stakeholder team to perform analyst work, build relationships, and develop business context.
What they ask for
- 4+ years of full-time experience in quantitative analysis roles, including some data modeling in DBT.
- Hands-on experience using LLMs for coding and analytics to build data products through LLM workflows.
- Expert-level SQL skills and experience with BI tools to convey information.
- Strong communication, teaching, problem-solving, analytical, and project-ownership skills.
Nice to have
- Experience evaluating AI/LLM tools.
- Experience developing data pipelines and processes.
Pay
$137,300 to $166,000 USD base salary
Tools
LLMs, DBT, SQL, Hex, Looker
AI focus
Strengthen conversational analytics with data and semantic models, documentation, context, and programmatic evaluations; train stakeholders to use LLMs for data needs.
Model-written summary · the original posting is authoritative