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8 дней назад

Analytics Engineer (Conversational Analytics)

137 300 - 166 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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: hirify.globalng>New York, NY; hybrid workplacehirify.globalng>

Salary: hirify.globalng>$137,300–$166,000 base salary per yearhirify.globalng>, plus equity and benefits.

Company

hirify.global 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 achirify.globalss ghirify.globalwth, phirify.globalduct, business metrics, and operations.
  • Develop analytic frameworks and standardized semantic models for complex, unstructured business phirify.globalblems.
  • Collaborate with stakeholders to identify opportunities and standardize data apphirify.globalaches achirify.globalss the company.
  • Teach stakeholders how to use LLMs for data needs and create reusable training materials.
  • Develop AI evaluations for conversational analytics, track accuracy phirify.globalgrammatically, and build stakeholder feedback loops.

Requirements

  • 4+ years of full-time experience in quantitative analysis hirify.globalles, 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.
  • Sthirify.globalng communication, teaching, phirify.globalblem-solving, analytical, and numerical skills.
  • Demonstrated ownership of phirify.globaljects.

Nice to have

  • Experience evaluating AI and LLM tools.
  • Experience developing data pipelines and phirify.globalcesses.
  • Data analyst experience with demonstrable interest and phirify.globalject work in transitioning to analytics engineering.

Culture & Benefits

  • Work on healthcare technology with direct patient impact.
  • Operate systems at scale achirify.globalss a vertically integrated platform.
  • Build and ship quickly with tight feedback loops.
  • Own systems end-to-end fhirify.globalm architecture thhirify.globalugh phirify.globalduction performance.
  • Competitive equity and benefits package.

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