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1 день назад

Bi Engineer (Internship)

Формат работы
remote (только France)
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
France
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

BI Engineer (Internship): Design and develop AI-powered self-service BI initiatives and support data platform migration with an accent on Snowflake queries, data modeling, and business analytics. Focus on building autonomous data querying tools, improving data reliability, and answering key business questions on churn, upsell, and feature adoption.

Location: Fully remote within France, based in Paris

Company

hirify.global enables companies to upskill internally via a collaborative LMS platform, serving 1,700 organizations globally with a team across North America and EMEA.

What you will do

  • Design an AI-powered initiative for autonomous Snowflake query building and execution
  • Support migration from Amplitude to internal tracking tools
  • Answer business questions related to churn, upsell, and feature adoption
  • Collaborate with data analysts to improve documentation and data models
  • Help teams become autonomous in BI tools like Looker
  • Scale and iterate on AI/self-service initiatives based on feedback

Requirements

  • Location: Must be based in France with fully remote work possible
  • Strong SQL knowledge and basic BI tools experience (Looker, Tableau)
  • Basic GitHub knowledge and eagerness to learn Snowflake, dbt
  • Curiosity and problem-solving mindset to translate ambiguous questions into actionable steps
  • English proficiency at B2 level or equivalent
  • Comfortable collaborating across teams and communicating technical concepts simply

Culture & Benefits

  • Meal vouchers, transportation reimbursement (50%)
  • Flexible 35-hour workweek with fully remote option in France
  • Active DEI employee resource groups
  • Structured career path with personalized onboarding and skill development
  • Commitment to diversity, inclusion, and equal opportunity workplace

Hiring process

  • Phone screen with Talent Acquisition Manager
  • Discovery meeting with Senior Data Manager
  • Case study meeting with Senior Data Manager and Senior Data Analyst
  • Clarification meeting with Director of Technology and Data Engineer
  • Offer

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