8 дней назад
Analytics Engineer (Conversational Analytics)
137 300 - 166 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (Conversational Analytics) (AI/data modeling): Building foundational data and semantic models, documentation, and evaluation systems for conversational analytics across growth, product, operations, and business domains with an accent on LLM workflows, SQL, and stakeholder enablement. Focus on developing standardized analytic frameworks, training non-data stakeholders, and programmatically measuring conversational analytics accuracy.
Location:
Salary:
Company
is building a vertically integrated healthcare platform connecting telehealth, diagnostics, pharmacy, and logistics for digital patient care.
What you will do
- Embed with stakeholder teams during the first 2–3 months to understand analyst workflows, build relationships, and develop business fluency.
- Build foundational data models, semantic models, documentation, and context for conversational analytics acss gwth, pduct, business metrics, and operations.
- Develop analytic frameworks and standardized semantic models for complex, unstructured business pblems.
- Collaborate with stakeholders to identify opportunities and standardize data appaches acss the company.
- Teach stakeholders how to use LLMs for data needs and create reusable training materials.
- Develop AI evaluations for conversational analytics, track accuracy pgrammatically, and build stakeholder feedback loops.
Requirements
- 4+ years of full-time experience in quantitative analysis les, including experience with data modeling in DBT.
- Hands-on experience using LLMs for coding and analytics workflows.
- Expert-level SQL skills.
- Experience with BI tools such as Hex and Looker.
- Stng communication, teaching, pblem-solving, analytical, and numerical skills.
- Demonstrated ownership of pjects.
Nice to have
- Experience evaluating AI and LLM tools.
- Experience developing data pipelines and pcesses.
- Data analyst experience with demonstrable interest and pject work in transitioning to analytics engineering.
Culture & Benefits
- Work on healthcare technology with direct patient impact.
- Operate systems at scale acss a vertically integrated platform.
- Build and ship quickly with tight feedback loops.
- Own systems end-to-end fm architecture thugh pduction performance.
- Competitive equity and benefits package.
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