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22 часа назад

Analytics Engineer (all genders) - Supply Data Solutions

60 000 - 70 000
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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 Engineer (all genders) - Supply Data Solutions (SQL/BigQuery): Building reliable reporting, dashboards, and self-service analytics for supply-related business decisions with an accent on data quality, stakeholder collaboration, and actionable insights. Focus on automating reporting workflows, analyzing large datasets, and translating complex business requirements into scalable analytical solutions.

Location: Hamburg, Germany

Salary: €60,000–€70,000 yearly

Company

hirify.global is an e-commerce company operating at the intersection of fashion and technology, with offices in Hamburg and Berlin.

What you will do

  • Gather, analyze, and interpret data to answer reporting requests from business stakeholders.
  • Translate complex data into clear, actionable insights for business strategy and supply-related decisions.
  • Automate routine reporting processes and maintain existing reports to improve reliability and data workflows.
  • Design, implement, and maintain advanced dashboards in Google Looker Studio and support self-service analytics.
  • Collaborate with data engineers, data scientists, and stakeholders to ensure data quality and consistency.
  • Communicate findings to technical and non-technical audiences and promote data-driven decision-making.

Requirements

  • At least 3 years of experience as a Data Analyst.
  • Strong SQL skills for complex analysis, reporting, and querying large datasets.
  • Experience with Google BigQuery.
  • Experience with data visualization tools such as Looker Studio or Excel.
  • Ability to translate unclear business requirements into analytical requirements and work independently across projects.
  • Strong communication, collaboration, problem-solving, and attention-to-detail skills with a commitment to data quality.

Nice to have

  • Experience with Python.

Culture & Benefits

  • Flat hierarchies, direct communication, and pragmatic decision-making.
  • Ownership, trust, and clear responsibility.
  • Inclusive environment that values acceptance, diverse perspectives, and fairness.
  • Team lunches, afterwork drinks, company events, and informal opportunities to connect.

Hiring process

  • Apply online through the career page.

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