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21 час 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 workflows and advanced dashboards for supply-related business decisions with an accent on data analysis, visualization, and data quality. Focus on translating complex stakeholder requirements into analytical solutions, automating routine reporting, and delivering actionable insights through self-service analytics.

Location: Hamburg, Germany

Salary: €60,000–€70,000 per year

Company

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

What you will do

  • Gather, analyze, and interpret data for business reporting requests and ad hoc analysis.
  • Translate complex data and unclear business requirements into actionable analytical insights.
  • Automate routine reporting processes and maintain existing reports to improve reliability and data workflows.
  • Design and implement advanced dashboards in Google Looker Studio to enable self-service analytics.
  • Collaborate with data engineers, data scientists, and business 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 and data visualization tools such as Looker Studio or Excel.
  • Excellent communication skills and the ability to work with diverse stakeholders.
  • Ability to work independently, drive projects from conception to completion, and collaborate cross-functionally.
  • Structured, pragmatic approach to problem-solving with strong attention to data quality and accuracy.

Nice to have

  • Experience with Python.

Culture & Benefits

  • Flat hierarchies, direct communication, pragmatic decision-making, and clear ownership.
  • Inclusive environment focused on acceptance and diverse perspectives.
  • Team lunches, after-work drinks, company events, and informal opportunities to connect.

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