Conversational Analytics Data Jobs

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Analytics Engineer, Conversational Analytics

Ro New York, NY

New York, NY

Today

$137k - $166k/yr Full time Analytics Artificial Intelligence Business Analytics

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Job Description

Ro is looking for an Analytics Engineer focused on Conversational Analytics. In this role, you will build the data and semantic foundations that enable accurate LLM-driven analytics, while partnering closely with stakeholders to turn needs into standardized, reusable data assets.

Location

New York, NY (onsite)

Compensation

USD 137,300 - 166,000 per year

Role Responsibilities

During the first 2-3 months, embed with a stakeholder team to review day-to-day analyst work, build relationships, and develop business fluency
Design and implement foundational data models, semantic models, and supporting documentation and context that power conversational analytics across multiple data domains (growth, product, business metrics, operations, etc.)
Address opaque, unstructured problems by creating core analytic frameworks and standardized semantic models that shape how the company conceptualizes its business
Collaborate with stakeholders to identify opportunities and deliver solutions that standardize the data approach to common problems across the organization
Teach and guide stakeholders on best practices for using LLMs for their own data needs, and convert what works into reusable training materials
Develop and maintain AI evaluations for conversational analytics, including programmatic accuracy tracking and establishing stakeholder feedback loops

Required Qualifications

4+ years of full-time experience in quantitative analysis roles, with a portion focused on data modeling in dbt
Hands-on experience using LLMs for coding and analytics, including building data products via LLM workflows rather than only answering basic questions
Expert-level SQL skills
Experience with BI tools, with Hex and Looker listed as current tools, to convey information effectively
Strong communication and teaching capabilities
Strong problem solving, analytical aptitude, and numerical dexterity
Demonstrated track record of project ownership

Technology Stack

DBT
LLMs
SQL
Hex
Looker

Nice-to-Haves

Experience with AI evaluation of LLM tools
Experience developing data pipelines and processes
Open to data analysts with demonstrable interest and project experience who want to transition to analytics engineering

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