Analytics Engineer, Conversational Analytics

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