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2 дня назад

Analytics Manager (Marketing Analytics)

Формат работы
remote (только Europe)/hybrid/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/Sweden/Germany +1 еще
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 Manager (Marketing Analytics): Leading the marketing analytics strategy and team to optimize growth investments and marketing effectiveness with an accent on attribution, media mix modeling, and experimentation. Focus on building the analytics roadmap, coaching a team of data scientists, and partnering with senior leadership to drive data-informed business decisions.

Location: Must be based in Germany, the UK, Finland, or Sweden (Remote, Hybrid, or Onsite options available within these countries).

Company

hirify.global is a global technology company building a delivery platform that connects customers, merchants, and couriers across 30+ countries.

What you will do

  • Define and execute the analytics roadmap for the Marketing Analytics team.
  • Partner with senior business and product leaders to guide measurement and tactical decision-making.
  • Develop and coach a team of Data Scientists to deliver high-impact analytical work.
  • Establish frameworks for marketing investment and monitor key performance indicators.
  • Brainstorm and evaluate 0-to-1 growth investment opportunities.
  • Foster a culture of innovation and shared success across cross-functional teams.

Requirements

  • 6+ years of experience in Data Analytics or Data Science.
  • 2+ years of leadership experience, including managing teams of 5-10 direct reports.
  • Proven track record in hiring and mentoring data science professionals.
  • Expertise in SQL and statistical analysis using Python or R.
  • Strong understanding of experimentation, attribution, and media mix modeling.
  • Must be based in Germany, the UK, Finland, or Sweden.

Culture & Benefits

  • Flexible work arrangements including remote, hybrid, or office-based options.
  • Opportunity to work with large-scale real-time geolocational and temporal data.
  • Collaborative environment focused on ownership, continuous learning, and high-impact projects.
  • Commitment to diversity, inclusion, and building a supportive team culture.

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