Hybrid opportunity at
RoAnalytics Engineer, Conversational Analytics
Ro seeks an Analytics Engineer to advance Conversational Analytics within the organization. Ro operates a vertically integrated digital health platform combining telehealth, diagnostics, pharmacy, and logistics…
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About This Role
Ro seeks an Analytics Engineer to advance Conversational Analytics within the organization. Ro operates a vertically integrated digital health platform combining telehealth, diagnostics, pharmacy, and logistics to serve patients. This hybrid role is based in New York and is structured as a full-time position. The position suits individuals who thrive in a startup environment and enjoy tackling unstructured problems without established solutions. During the initial months, the chosen candidate will…
Job Description
Ro seeks an Analytics Engineer to advance Conversational Analytics within the organization. Ro operates a vertically integrated digital health platform combining telehealth, diagnostics, pharmacy, and logistics to serve patients. This hybrid role is based in New York and is structured as a full-time position.
The position suits individuals who thrive in a startup environment and enjoy tackling unstructured problems without established solutions. During the initial months, the chosen candidate will immerse themselves in daily analyst workflows alongside a stakeholder team to build business context and relationships. Afterwards, the work shifts toward developing semantic models, data models, documentation, and evaluation tools that enable non-technical stakeholders to leverage conversational analytics safely and effectively. Candidates should possess a bias for action, strong communication abilities, and an inclination toward continuous learning.
Ro maintains an equal opportunity workplace, prohibiting discrimination across all protected classifications, and provides reasonable accommodations for qualified applicants with disabilities.
Responsibilities
- Spend the first two to three months embedded with a stakeholder team handling daily analytics work and building business fluency
- Construct foundational data models, semantic models, documentation, and context supporting conversational analytics across multiple domains
- Tackle unstructured problems by creating standardized semantic models and core analytic frameworks
- Collaborate with internal stakeholders to pinpoint opportunities and establish standardized data solutions
- Educate colleagues on best practices for applying large language models to data tasks and distill successful methods into training materials
- Build and maintain artificial intelligence evaluations for conversational analytics to track programmatic accuracy and gather user feedback
Requirements
- Four or more years of full-time quantitative analysis experience
- Previous data modeling experience utilizing DBT
- Hands-on background leveraging large language models for coding, analytics, and building data products
- Expert level SQL proficiency
- Familiarity with business intelligence applications such as Hex and Looker
- Strong communication, teaching, and problem-solving skills with numerical dexterity
- Proven track record of project ownership
Qualifications
- Experience with artificial intelligence evaluation of large language model tools
- Background in developing data pipelines and associated processes
- Data analysts with relevant project experience and interest in transitioning to analytics engineering are welcome to apply
Core Skills
Benefits
- Competitive equity package
- Target base salary ranging from $137,300 to $166,000 depending on location, skills, and experience
Frequently Asked Questions
Where is this job located and is it remote?
This position is located in New York and follows a hybrid remote status.
What is the employment type?
This is a full-time position.
What salary does the position offer?
The target base salary ranges from $137,300 to $166,000, supplemented by a competitive equity and benefits package based on location, skills, and experience.
What are the core technical requirements for applicants?
Applicants must have at least 4 years of full-time quantitative analysis experience, including data modeling in DBT, expert SQL skills, and hands-on experience using large language models for coding and analytics.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
