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2 дня назад

Senior Data Analyst (Medtech)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ukraine/Poland/Mexico +4 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

Senior Data Analyst (Medtech): Modernizing a healthcare data platform to support reporting, business intelligence, and AI-enabled workflows with an accent on data modeling, dashboard development, and stakeholder collaboration. Focus on analyzing complex healthcare datasets, ensuring data integrity, and driving strategic decision-making within a telehealth-first care model.

Location: Must be based in Bulgaria, Georgia, Lithuania, Mexico, Moldova, Poland, or Ukraine and maintain daily overlap with the US team until at least 12:30 PM Pacific Time.

Company

hirify.global is a software development and consulting company providing technology services to global clients.

What you will do

  • Analyze large datasets to identify trends and provide actionable business recommendations.
  • Create and maintain interactive dashboards and reports using Tableau.
  • Collaborate with business leaders and product teams to translate reporting needs into BI solutions.
  • Work with data engineers on data models, pipelines, and integration across systems.
  • Conduct ad-hoc analysis to support operational needs and strategic decision-making.
  • Develop and track KPIs and performance metrics to improve data usage across the organization.

Requirements

  • 8+ years of experience in Business Intelligence or Data Analytics.
  • English level: Upper-Intermediate or higher.
  • Must maintain daily overlap with the US team until at least 12:30 PM Pacific Time.
  • Strong SQL skills and experience with cloud data warehouses like Snowflake.
  • Proficiency with BI tools such as Tableau, Power BI, or Looker.
  • Solid understanding of ETL/ELT processes, data modeling, and modern data stacks.

Nice to have

  • Experience with healthcare, EMR/EHR, or health insurance data.
  • Knowledge of FHIR or HL7 interoperability standards.
  • Experience with AWS data services or Python/R for analysis.
  • Familiarity with AI-ready data architectures and data governance.

Culture & Benefits

  • Flexible work options including remote and hybrid opportunities.
  • Technical and non-technical training for professional growth.
  • Health insurance and sports activities.
  • Internal conferences, meetups, and mentorship programs.
  • Work anniversary program and additional vacation days.

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