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4 дня назад

Senior Data Analyst (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Armenia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior Data Analyst (AI): Owning end-to-end analytics for Krisp’s Call Center and Developer businesses with an accent on complex data analysis, reliable data foundations, and AI-assisted workflows. Focus on defining business and product metrics, building dbt Cloud models and dashboards, and translating ambiguous questions into actionable decisions.

Location: Armenia; hybrid work format

Company

hirify.global develops voice AI products, including AI meeting assistants, call center AI, speech assistance, and voice AI agents for developers.

What you will do

  • Own end-to-end analytics for the Call Center and Developer businesses.
  • Partner with product, engineering, and business teams to translate goals into measurable metrics.
  • Define and maintain key business and product metrics.
  • Analyze large and complex datasets to identify patterns, opportunities, and problems.
  • Build and maintain analytical data models, reports, and dashboards.
  • Use AI agents and AI-assisted workflows to accelerate analysis, investigation, reporting, and daily work.

Requirements

  • Strong professional background in data analytics, with exposure to data science and statistical analysis.
  • Excellent SQL skills and experience working with complex datasets.
  • Strong understanding of data modeling and analytical data structures.
  • Hands-on experience with dbt Cloud, analytical models, reports, and dashboards.
  • Advanced knowledge of AI agents and the ability to use them effectively in analytical workflows.
  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field.

Culture & Benefits

  • High-ownership role with responsibility from problem definition through implementation and communication of results.
  • Opportunity to own a business area and support data-driven decision-making.
  • Work closely with technical and non-technical stakeholders.
  • Hybrid work format in Armenia.

Hiring process

  • Shortlisted candidates will be contacted for the next stages.

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