Назад
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4 дня назад

Senior Analytics Engineer (AI)

Формат работы
remote (только Lithuania)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Lithuania
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
Senior Analytics Engineer (AI): Designing and maintaining scalable dbt data models for commercial, marketing, health outcomes, and clinical operations analytics with an accent on data quality, governance, and advanced SQL. Focus on leading end-to-end analytical projects, setting modelling standards, and evaluating AI-powered analytics tools.

Location: Remote from Lithuania

Company

hirify.global is a digital health company investing in AI-powered analytics across the patient journey.

What you will do

  • Design, build, and maintain scalable, well-tested dbt data models across commercial, marketing, health outcomes, and clinical operations domains.
  • Set technical standards for data modelling, testing, documentation, code quality, and CI/CD.
  • Lead analytical projects end to end, including scoping, dependency management, risk identification, and stakeholder communication.
  • Partner with clinical, commercial, product, data science, and analytics teams to translate complex requirements into robust data models.
  • Evaluate and champion AI-powered analytics tools and shape the company’s emerging technology strategy.
  • Drive data quality, reliability, governance, monitoring, and issue resolution across the transformation layer.

Requirements

  • 3–5+ years of experience in analytics engineering, data engineering, or business intelligence.
  • Experience owning end-to-end data model design across multiple business domains.
  • Expert-level SQL, including window functions, CTEs, advanced aggregations, and cloud warehouse optimisation.
  • Deep proficiency in dbt, including models, macros, tests, packages, documentation, exposures, and CI/CD.
  • Strong stakeholder management skills and the ability to explain technical concepts to clinical and commercial audiences.
  • Experience setting technical standards and mentoring data scientists and analysts in a small, high-performing data team.

Culture & Benefits

  • Permanent employment with remote work from Lithuania.
  • Opportunity to shape AI-powered analytics practices and technology adoption.
  • Collaboration with data scientists, analysts, clinical teams, commercial teams, and product stakeholders.
  • Focus on best practices, code review, continuous learning, and pragmatic high-impact solutions.

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