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13 часов назад

Analytics Intern

Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Analytics Intern (Data Analytics): Own internal analytics domains end-to-end including data engineering, data quality, and reporting with an accent on data integrity, reporting, and operational insights. Focus on building reliable data pipelines, monitoring, and automation to improve analytics workflows.

Location: Hybrid in Berlin, Germany

Company

hirify.global is Europe’s leading tech-enabled fund administrator for VC, PE, and alternative assets, combining AI-powered automation with deep domain expertise to build the backbone of private markets.

What you will do

  • Investigate and resolve data quality issues across analytics stack
  • Build and maintain internal dashboards and reporting views
  • Analyze operational processes and surface actionable insights
  • Contribute to tooling and automation for analytics team efficiency
  • Set up monitoring and alerting for data pipeline health

Requirements

  • Location: Hybrid work with 3 days/week in Berlin office
  • Studying or recently graduated in Business, Finance, Economics, STEM or related field
  • Technical curiosity with self-taught SQL, Python or similar tools
  • Ability to work in fast-moving startup environment with ambiguous requirements
  • Strong problem-solving and communication skills
  • English proficiency at least B2 level

Nice to have

  • Experience with modern data stack tools like dlt, dbt, BigQuery
  • Interest in private markets data and fund operations

Culture & Benefits

  • Diverse and driven team culture with ownership mindset
  • Flexible hours and hybrid office setup (3 days/week in office)
  • 10 days vacation within 6-month internship
  • Competitive compensation package
  • Modern tech and work setup

Hiring process

  • Mini challenge (under 1 hour) as preparation
  • First interview with Analytics Associate (30 min)
  • Deep dive interview with Analytics Lead (45 min)
  • Final round with VP Engineering (30 min)

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