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9 дней назад

Analyst, Data Operations & Analytics (Hospitality)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada/Germany
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
Analyst, Data Operations & Analytics (Hospitality): Building reusable datasets, dashboards, and analyses for Hospitality business and product teams with an accent on SQL, customer insights, KPI reporting, and data quality. Focus on translating ambiguous business questions into analysis plans, investigating root causes of data issues, and communicating findings through clear visualizations and narratives.

Location: Berlin, Germany

Company

hirify.global provides a cloud commerce platform for retail, hospitality, and golf businesses, combining online and physical operations, payments, inventory management, and data-driven insights.

What you will do

  • Analyze Hospitality business processes, customers, and data to answer operational and product questions.
  • Perform customer segmentation, health checks, and impact measurement analyses.
  • Write SQL queries and build datasets from multiple data sources.
  • Build and maintain dashboards and reports for KPI tracking and trend analysis.
  • Translate ambiguous stakeholder questions into analysis plans and present findings with clear visualizations and narratives.
  • Investigate data quality issues, document findings, and flag root causes.

Requirements

  • 2–3+ years of experience as a Data Analyst or in a similar analytics role.
  • Strong SQL skills, including querying and joining data across multiple sources.
  • Experience building dashboards or reports with Looker or a similar business intelligence tool.
  • Ability to translate business questions into analysis plans and explain findings to non-technical stakeholders.
  • Strong attention to data accuracy, organization, curiosity, and self-direction.
  • Availability to work in Berlin, Germany.

Nice to have

  • Python experience for data analysis.
  • Experience in Hospitality, Finance, Accounting, Revenue Operations, Sales, or another operational business environment.
  • Familiarity with GCP, BigQuery, Dataform, GitHub, Salesforce, Segment, or Heap.
  • Interest in machine learning models and large language models.

Culture & Benefits

  • Inclusive and diverse workplace with opportunities for career development.
  • Opportunity to work on high-traffic products used globally.
  • Equity scheme and monthly office lunch.
  • Work from anywhere in the world for up to 60 days per year.
  • €400 annual health and wellness benefit, mental health support, and one volunteer day.

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