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10 часов назад

Data Analyst (AI)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Netherlands
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

Data Analyst (AI): Building and maintaining analytical assets to support data-driven decision-making with an accent on automating reporting and data quality. Focus on developing AI-assisted analytics tools, designing interactive dashboards, and performing deep-dive exploratory analyses to clarify business performance.

Location: Based in Amsterdam, Netherlands.

Company

hirify.global is a global cloud platform focused on serving the AI economy with infrastructure solutions for high-performance computing.

What you will do

  • Design, implement, and maintain interactive business dashboards.
  • Contribute to ETL/ELT processes and monitor data quality.
  • Design and refine AI-driven analytical agents to automate reporting.
  • Translate complex business questions into structured analysis plans.
  • Collaborate with stakeholders to define KPIs and ensure data alignment.
  • Perform exploratory analysis and turn ad-hoc requests into reusable assets.

Requirements

  • Experience in a data analyst or related analytical role.
  • Proficiency in Python and SQL with confidence in Excel.
  • Solid grounding in statistics, hypothesis testing, and regression analysis.
  • Ability to translate technical data findings into actionable business insights.
  • Strong written and verbal communication skills in English.
  • Attention to detail and experience with data validation practices.

Nice to have

  • Experience with BI tools like Tableau, Power BI, Looker, or Superset.
  • Familiarity with modern data stacks including dbt, Airflow, and BigQuery.
  • Experience with experiment, cohort, and funnel analysis.

Culture & Benefits

  • Competitive salary and comprehensive benefits package.
  • Professional growth opportunities within a fast-growing AI cloud company.
  • Flexible working arrangements in a dynamic, collaborative environment.

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