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10 часов назад

Analytics Engineer II (Revenue Operations)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Netherlands/Italy
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 II (Revenue Operations): Building and maintaining core GTM data models and dashboards to support commercial decision-making with an accent on data standardization and stakeholder management. Focus on transitioning the RevOps function from reactive reporting to proactive product-driven analytics within a fast-paced fintech environment.

Location: Must be based in or able to work from Amsterdam or Milan (Hybrid)

Company

hirify.global is a leading European fintech company providing effortless payment and money management solutions for over 250,000 businesses.

What you will do

  • Own and maintain core dashboards for GTM domains including Merchant Sales and Customer Growth.
  • Manage and optimize HubSpot data models to ensure data integrity.
  • Define success metrics and implement tracking for GTM Enablement projects.
  • Reduce dashboard sprawl by centralizing and standardizing reporting in Omni.
  • Deliver ad hoc analysis to support commercial decision-making and impact scoping.

Requirements

  • Four or more years of experience in an analytics engineering or closely related role.
  • Strong SQL skills and hands-on experience with BI tools like Looker or Tableau.
  • Solid data visualization skills with the ability to communicate insights to commercial audiences.
  • Working understanding of data modeling concepts and engineering best practices.
  • Experience managing stakeholders in a commercial or sales-facing environment.

Culture & Benefits

  • Autonomy and ownership in small, cross-functional teams.
  • Commitment to long-term building and sustainable work environments.
  • Regular feedback, performance reviews, and transparent salary growth.
  • Opportunities for internal mobility and career development.
  • Integration of AI tools across all teams to simplify work and accelerate delivery.

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